Shortest-Path Constrained Reinforcement Learning for Sparse Reward Tasks
Sungryull Sohn, Sungtae Lee, Jongwook Choi, Harm van Seijen, Honglak Lee, Mehdi Fatemi
2021 International Conference on Machine Learning | May 2021
Return to Microsoft Research Lab – Montréal
Reinforcement Learning | Montréal
Publications
Publications par année
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Learning to Represent Action Values as a Hypergraph on the Action Vertices
Arash Tavakoli, Mehdi Fatemi, Petar Kormushev
2021 International Conference on Learning Representations (ICLR’21) | May 2021
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Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift
Remi Tachet des Combes, Han Zhao, Yu-Xiang Wang, Geoff Gordon
NeurIPS | December 2020
Learning Dynamic Belief Graphs to Generalize on Text-Based Games
Ashutosh Adhikari, Xingdi Yuan, Marc-Alexandre Côté, Mikulas Zelinka, Marc-Antoine Rondeau, Romain Laroche, Pascal Poupart, Jian Tang, Adam Trischler, William L. Hamilton
NeurIPS 2020 | October 2020
Reinforcement Learning Framework for Deep Brain Stimulation Study
Dmitrii Krylov, Remi Tachet des Combes, Romain Laroche, Michael Rosenblum, Dmitry V. Dylov
International Joint Conference on Artificial Intelligence | July 2020
A Reduction from Reinforcement Learning to No-Regret Online Learning
Ching-An Cheng, Remi Tachet des Combes, Byron Boots, Geoff Gordon
International Conference on Artificial Intelligence and Statistics | June 2020
Safe Policy Improvement with an Estimated Baseline Policy
Thiago D. Simao, Romain Laroche, Remi Tachet des Combes
International Conference on Autonomous Agents and Multi-Agent Systems | May 2020
Population Histories of the United States Revealed through Fine-Scale Migration and Haplotype Analysis
Chengzhen L. Dai, Mohammad M. Vazifeh, Chen-Hsiang Yeang, Remi Tachet des Combes, R. Spencer Wells, Miguel G. Vilar, Mark J. Daly, Carlo Ratti, Alicia R. Martin
The American Journal of Human Genetics | March 2020, Vol 106(3): pp. 371-388
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Using a Logarithmic Mapping to Enable Lower Discount Factors in Reinforcement Learning
Harm van Seijen, Mehdi Fatemi, Arash Tavakoli
Neural Information Processing Systems (NeurIPS) | December 2019
Oral Presentation
Robust Natural Language Inference Models with Example Forgetting
Yadollah Yaghoobzadeh, Remi Tachet des Combes, T. J. Hazen, Alessandro Sordoni
November 2019
Safe Policy Improvement with Soft Baseline Bootstrapping
Kimia Nadjahi, Romain Laroche, Remi Tachet des Combes
European Conference in Machine Learning (ECML-PKDD) | September 2019
Multi-batch Reinforcement Learning
Romain Laroche, Remi Tachet des Combes
The 4th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM) | July 2019
SPIBB-DQN: Safe Batch Reinforcement Learning with Function Approximation
Romain Laroche, Remi Tachet des Combes
The 4th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM) | July 2019
Dead-ends and Secure Exploration in Reinforcement Learning
Mehdi Fatemi, Shikhar Sharma, Harm van Seijen, Samira Ebrahimi Kahou
Proceedings of the 36th International Conference on Machine Learning (ICML) | June 2019
Spotlight Presentation
On Learning Invariant Representation for Domain Adaptation
Han Zhao, Remi Tachet des Combes, Kun Zhang, Geoff Gordon
International Conference on Machine Learning | June 2019
On the Learning Dynamics of Deep Neural Networks
Remi Tachet des Combes
ICML – Theoretical Physics for Deep Learning Workshop | June 2019
An Empirical Study of Example Forgetting during Deep Neural Network Learning
Mariya Toneva, Alessandro Sordoni, Remi Tachet des Combes, Adam Trischler, Yoshua Bengio, Geoff Gordon
ICLR 2019 | April 2019
-
Counting to Explore and Generalize in Text-based Games
Xingdi Yuan, Marc-Alexandre Côté, Alessandro Sordoni, Romain Laroche, Remi Tachet des Combes, Matthew Hausknecht, Adam Trischler
European Workshop on Reinforcement Learning (EWRL) | October 2018
Training Dialogue Systems With Human Advice
Merwan Barlier, Romain Laroche, Olivier Pietquin
Proceedings of the 17th International Conference on Autonomous Agents and Multiagent Systems (AAMAS) | July 2018
Counting to Explore and Generalize in Text-based Games
Xingdi Yuan, Marc-Alexandre Côté, Alessandro Sordoni, Romain Laroche, Remi Tachet des Combes, Matthew Hausknecht, Adam Trischler
ICML 2018 | June 2018
In reinforcement learning, all objective functions are not equal
Romain Laroche, Harm van Seijen
Proceedings of the 6th International Conference on Learning Representations (ICLR) – workshop track | May 2018
Reinforcement Learning Algorithm Selection
Romain Laroche, Raphael Feraud
Proceedings of the 6th International Conference on Learning Representations (ICLR) | May 2018
On Value Function Representation of Long Horizon Problems
Lucas Lehnert, Romain Laroche, Harm van Seijen
Proceedings of the 33rd AAAI international conference | February 2018
-
Safe Policy Improvement with Baseline Bootstrapping
Romain Laroche, Paul Trichelair
arXiv preprint arXiv:1712.06924 | December 2017, pp. 8+1+8
Online learning and transfer for user adaptation in dialogue systems
Nicolas Carrara, Romain Laroche, Olivier Pietquin
Proceedings of the 18th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL) | August 2017
The complex negotiation dialogue game
Romain Laroche
Proceedings of the 21st Workshop on on the Semantics and Pragmatics of Dialogues (SemDial) | August 2017
A methodology for turn-taking capabilities enhancement in Spoken Dialogue Systems using Reinforcement Learning
Hatim Khouzaimi, Romain Laroche, Fabrice Lefèvre
Computer Speech & Language | July 2017, Vol 47: pp. 93-111
Hybrid Reward Architecture for Reinforcement Learning
Harm van Seijen, Mehdi Fatemi, Joshua Romoff, Romain Laroche, Tavian Barnes, Jeffrey Tsang
Neural Information Processing Systems (NIPS) | June 2017
Algorithm selection of reinforcement learning algorithms
Romain Laroche
Proceedings of the 3rd Multidisciplinary Conference on Reinforcement Learning and Decision Making | June 2017
Transfer Reinforcement Learning with Shared Dynamics
Romain Laroche
Proceedings of the 3rd Multidisciplinary Conference on Reinforcement Learning and Decision Making | June 2017
Multi-Advisor Reinforcement Learning
Romain Laroche, Mehdi Fatemi, Harm van Seijen, Joshua Romoff
April 2017
arXiv:1704.00756
Improving Scalability of Reinforcement Learning by Separation of Concerns
Harm van Seijen, Mehdi Fatemi, Josh Romoff, Romain Laroche
arXiv | March 2017
Separation of Concerns in Reinforcement Learning
Harm van Seijen, Mehdi Fatemi, Joshua Romoff, Romain Laroche
aRXiv | March 2017
-
Learning dialogue dynamics with the method of moments
Merwan Barlier, Romain Laroche, Olivier Pietquin
Proceedings of 2016 IEEE Spoken Language Technology Workshop (SLT) | December 2016
A Stochastic Model for Computer-Aided Human-Human Dialogue
Merwan Barlier, Romain Laroche, Olivier Pietquin
Proceedings of the 17th Annual Conference of the International Speech Communication Association (Interspeech) | September 2016
True Online Temporal-Difference Learning
Harm van Seijen, Ashique Rupam Mahmood, Patrick M. Pilarski, Marlos C. Machado, Richard Sutton
Journal of Machine Learning Research | September 2016, Vol 17/145: pp. 1-40
Effective Multi-step Temporal-Difference Learning for Non-Linear Function Approximation
Harm van Seijen
aRXiv | August 2016
Reinforcement Learning for Turn-Taking Management in Incremental Spoken Dialogue Systems
Hatim Khouzaimi, Romain Laroche, Fabrice Lefevre
Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI) | July 2016
Policy Networks with Two-Stage Training for Dialogue Systems
Mehdi Fatemi, Layla El Asri, Hannes Schulz, Jing He, Kaheer Suleman
Proceedings of SIGDial 2016 | June 2016
Score-based Inverse Reinforcement Learning
Layla El Asri, Bilal Piot, Matthieu Geist, Romain Laroche, Olivier Pietquin
Proceedings of the 15th International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS) | May 2016
Transfer Learning for User Adaptation in Spoken Dialogue Systems
Aude Genevay, Romain Laroche
Proceedings of the 15th International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS) | May 2016
Score-based inverse reinforcement learning
Layla El Asri, Bilal Piot, Matthieu Geist, Romain Laroche, Olivier Pietquin
Proceedings of AAMAS | May 2016
Compact and Interpretable Dialogue State Representation with Genetic Sparse Distributed Memory
Layla El Asri, Romain Laroche, Olivier Pietquin
Proceedings of IWSDS | January 2016
-
Turn-taking phenomena in incremental dialogue systems
Hatim Khouzaimi, Romain Laroche, Fabrice Lefevre
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing (EMNLP) | September 2015
Human-Machine Dialogue as a Stochastic Game
Merwan Barlier, Romain Laroche, Olivier Pietquin
Proceedings of the 16th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL) | August 2015
Optimising Turn-Taking Strategies With Reinforcement Learning
Hatim Khouzaimi, Romain Laroche, Fabrice Lefevre
Proceedings of the 16th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL) | August 2015
An Empirical Evaluation of True Online TD({lambda})
Harm van Seijen, Ashique Rupam Mahmood, Patrick M. Pilarski, Richard Sutton
aRXiv | July 2015
Content Finder AssistanT
Romain Laroche
Proceedings of the 18th International Conference on Intelligence in Next Generation Networks (ICIN) | February 2015
A Deeper Look at Planning as Learning from Replay
Harm van Seijen, Richard Sutton
RLDM ’15: Proceedings of the 2nd Multidisciplinary Conference on Reinforcement Learning and Decision Making | January 2015
-
Contextual Bandit for Active Learning: Active Thompson Sampling
Djallel Bouneffouf, Romain Laroche, Tanguy Urvoy, Raphael Feraud, Robin Allesiardo
Proceedings of the 21st International Conference on Neural Information Processing (ICONIP) | October 2014
An easy method to make dialogue systems incremental
Hatim Khouzaimi, Romain Laroche, Fabrice Lefevre
Proceedings of the 15th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL) | August 2014
Task Completion Transfer Learning for Reward Inference
Layla El Asri, Romain Laroche, Olivier Pietquin
Proceedings of MLIS | July 2014
Vers une approche simplifiée pour introduire le caractère incrémental dans les systèmes de dialogue
Hatim Khouzaimi, Romain Laroche, Fabrice Lefevre
Proceedings of the 21st Conference sur le Traitement Automatique des Langues Naturelles (TALN) | June 2014
True Online TD(λ)
Harm van Seijen, Richard Sutton
ICML’14, At Beijing | June 2014
DINASTI: Dialogues with a Negotiating Appointment Setting Interface
Layla El Asri, Romain Laroche, Olivier Pietquin
Proceedings of the 9th Edition of Language Resources and Evaluation Conference (LREC) | May 2014
NASTIA: Negotiating Appointment Setting Interface
Layla El Asri, Remi Lemonnier, Romain Laroche (rolaroch), Olivier Pietquin, Hatim Khouzaimi
Proceedings of LREC | May 2014
Ordinal regression for interaction quality prediction
Layla El Asri, Hatim Khouzaimi, Romain Laroche, Olivier Pietquin
Proceedings of ICASSP | May 2014
-
Will my Spoken Dialogue System be a Slow Learner?
Layla El Asri, Romain Laroche
Proceedings of the 14th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL) | August 2013
Cooking Coach Spoken/Multimodal Dialogue Systems
Romain Laroche, Jan Dziekan, Laurent Roussarie, Piotr Baczyk
Proceedings of the IJCAI Workshop on Cooking with Computers | August 2013
Efficient abstraction selection in reinforcement learning
Harm van Seijen, Shimon Whiteson, L.J.H.M. Kester
Computational Intelligence | August 2013, Vol 30-Apr: pp. 657-699
Efficient Abstraction Selection in Reinforcement Learning – Extended Abstract
Harm van Seijen, Shimon Whiteson, L.J.H.M. Kester
SARA’13 | July 2013
Reward Shaping for Statistical Optimisation of Dialogue Management
Layla El Asri, Romain Laroche, Olivier Pietquin
Proceedings of Statistical Language and Speech Processing | July 2013
Efficient Planning in MDPs by Small Backups
Harm van Seijen, Richard Sutton
ICML’13 | June 2013
Planning by Prioritized Sweeping with Small Backups
Harm van Seijen, Richard Sutton
aRXiv | January 2013
-
Reward Function Learning for Dialogue Management
Layla El Asri, Romain Laroche, Olivier Pietquin
Proceedings of the 6th «Starting Artificial Intelligence Research» Symposium (STAIRS) | August 2012
-
Exploiting Best-Match Equations for Efficient Reinforcement Learning
Harm van Seijen, Shimon Whiteson, Hado Van Hasselt, Marco A. Wiering
Journal of Machine Learning Research | June 2011, Vol 12: pp. 2045-2094
-
Enhanced monitoring tools and online dialogue optimisation merged into a new Spoken Dialogue System design experience
Romain Laroche, Philippe Bretier, Ghislain Putois
Proceedings of the 11th Annual Conference of the International Speech Communication Association (Interspeech) | August 2010
Online reinforcement learning for spoken dialogue systems: The story of a commercial deployment success
Ghislain Putois, Romain Laroche, Philippe Bretier
Proceedings of the 11th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL) | August 2010
Optimising a handcrafted dialogue system design
Romain Laroche, Ghislain Putois, Philippe Bretier
Proceedings of the 11th Annual Conference of the International Speech Communication Association (Interspeech) | August 2010
Raisonnement sur les incertitudes et apprentissage pour les systèmes de dialogue conventionnels
Romain Laroche
May 2010
Thèse de doctorat : PhD Thesis at Universite Paris VI, France | May 2010
-
Hybridisation of Expertise and Reinforcement Learning in Dialogue Systems
Romain Laroche, Ghislain Putois, Philippe Bretier, Bernadette Bouchon-Meunier
Proceedings of the 10th Annual Conference of the International Speech Communication Association (Interspeech), Special Session: Machine Learning for Adaptivity in Spoken Dialogue | August 2009
A theoretical and empirical analysis of Expected Sarsa
Harm van Seijen, Hado Van Hasselt, Shimon Whiteson, Marco A. Wiering
IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2009. ADPRL ’09 | May 2009
HYBASE: HYperspectral BAnd SElection
Piet Schwering, Herman H. P. Th. Bekman, Harm van Seijen
Proc SPIE | May 2009
Postponed Updates for Temporal-Difference Reinforcement Learning
Harm van Seijen, Shimon Whiteson
Ninth International Conference on Intelligent Systems Design and Applications, ISDA 2009, Pisa, Italy | January 2009
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Uncertainty Management in Dialogue Systems
Romain Laroche, Bernadette Bouchon-Meunier, Philippe Bretier
Proceedings of the European Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU) | January 2008
Switching between different state representations in reinforcement learning
Harm van Seijen, Bram Bakker, L.J.H.M. Kester
Proceedings of the 26th IASTED International Conference on Artificial Intelligence and Applications | January 2008
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Reinforcement Learning with Multiple, Qualitatively Different State Representations
Harm van Seijen, Bram Bakker, L.J.H.M. Kester
Proceedings of NIPS 2007 Workshop on Hierarchical Organization of Behavior | April 2007
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Texture Analysis of Coated Conductors by Micro-Raman and Synchrotron x-ray Diffraction
Teresa Puig, Anna Puig Molina, Narcis Mestres, Harm van Seijen, Francesc Alzina, Juan Carlos Gonzalez, Xavier Obradors, H. Graafsma, Alexander Usoskin, H.C. Freyhardt
Mat. Res. Soc. Symp. | January 2001, Vol 659
Filtre par zone de recherche
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Texture Analysis of Coated Conductors by Micro-Raman and Synchrotron x-ray Diffraction
Teresa Puig, Anna Puig Molina, Narcis Mestres, Harm van Seijen, Francesc Alzina, Juan Carlos Gonzalez, Xavier Obradors, H. Graafsma, Alexander Usoskin, H.C. Freyhardt
Mat. Res. Soc. Symp. | January 2001, Vol 659
Shortest-Path Constrained Reinforcement Learning for Sparse Reward Tasks
Sungryull Sohn, Sungtae Lee, Jongwook Choi, Harm van Seijen, Honglak Lee, Mehdi Fatemi
2021 International Conference on Machine Learning | May 2021
Learning to Represent Action Values as a Hypergraph on the Action Vertices
Arash Tavakoli, Mehdi Fatemi, Petar Kormushev
2021 International Conference on Learning Representations (ICLR’21) | May 2021
Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift
Remi Tachet des Combes, Han Zhao, Yu-Xiang Wang, Geoff Gordon
NeurIPS | December 2020
Learning Dynamic Belief Graphs to Generalize on Text-Based Games
Ashutosh Adhikari, Xingdi Yuan, Marc-Alexandre Côté, Mikulas Zelinka, Marc-Antoine Rondeau, Romain Laroche, Pascal Poupart, Jian Tang, Adam Trischler, William L. Hamilton
NeurIPS 2020 | October 2020
Reinforcement Learning Framework for Deep Brain Stimulation Study
Dmitrii Krylov, Remi Tachet des Combes, Romain Laroche, Michael Rosenblum, Dmitry V. Dylov
International Joint Conference on Artificial Intelligence | July 2020
A Reduction from Reinforcement Learning to No-Regret Online Learning
Ching-An Cheng, Remi Tachet des Combes, Byron Boots, Geoff Gordon
International Conference on Artificial Intelligence and Statistics | June 2020
Safe Policy Improvement with an Estimated Baseline Policy
Thiago D. Simao, Romain Laroche, Remi Tachet des Combes
International Conference on Autonomous Agents and Multi-Agent Systems | May 2020
Using a Logarithmic Mapping to Enable Lower Discount Factors in Reinforcement Learning
Harm van Seijen, Mehdi Fatemi, Arash Tavakoli
Neural Information Processing Systems (NeurIPS) | December 2019
Oral Presentation
Robust Natural Language Inference Models with Example Forgetting
Yadollah Yaghoobzadeh, Remi Tachet des Combes, T. J. Hazen, Alessandro Sordoni
November 2019
Safe Policy Improvement with Soft Baseline Bootstrapping
Kimia Nadjahi, Romain Laroche, Remi Tachet des Combes
European Conference in Machine Learning (ECML-PKDD) | September 2019
SPIBB-DQN: Safe Batch Reinforcement Learning with Function Approximation
Romain Laroche, Remi Tachet des Combes
The 4th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM) | July 2019
Multi-batch Reinforcement Learning
Romain Laroche, Remi Tachet des Combes
The 4th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM) | July 2019
On the Learning Dynamics of Deep Neural Networks
Remi Tachet des Combes
ICML – Theoretical Physics for Deep Learning Workshop | June 2019
On Learning Invariant Representation for Domain Adaptation
Han Zhao, Remi Tachet des Combes, Kun Zhang, Geoff Gordon
International Conference on Machine Learning | June 2019
Dead-ends and Secure Exploration in Reinforcement Learning
Mehdi Fatemi, Shikhar Sharma, Harm van Seijen, Samira Ebrahimi Kahou
Proceedings of the 36th International Conference on Machine Learning (ICML) | June 2019
Spotlight Presentation
An Empirical Study of Example Forgetting during Deep Neural Network Learning
Mariya Toneva, Alessandro Sordoni, Remi Tachet des Combes, Adam Trischler, Yoshua Bengio, Geoff Gordon
ICLR 2019 | April 2019
Counting to Explore and Generalize in Text-based Games
Xingdi Yuan, Marc-Alexandre Côté, Alessandro Sordoni, Romain Laroche, Remi Tachet des Combes, Matthew Hausknecht, Adam Trischler
European Workshop on Reinforcement Learning (EWRL) | October 2018
Training Dialogue Systems With Human Advice
Merwan Barlier, Romain Laroche, Olivier Pietquin
Proceedings of the 17th International Conference on Autonomous Agents and Multiagent Systems (AAMAS) | July 2018
Counting to Explore and Generalize in Text-based Games
Xingdi Yuan, Marc-Alexandre Côté, Alessandro Sordoni, Romain Laroche, Remi Tachet des Combes, Matthew Hausknecht, Adam Trischler
ICML 2018 | June 2018
In reinforcement learning, all objective functions are not equal
Romain Laroche, Harm van Seijen
Proceedings of the 6th International Conference on Learning Representations (ICLR) – workshop track | May 2018
Reinforcement Learning Algorithm Selection
Romain Laroche, Raphael Feraud
Proceedings of the 6th International Conference on Learning Representations (ICLR) | May 2018
On Value Function Representation of Long Horizon Problems
Lucas Lehnert, Romain Laroche, Harm van Seijen
Proceedings of the 33rd AAAI international conference | February 2018
Safe Policy Improvement with Baseline Bootstrapping
Romain Laroche, Paul Trichelair
arXiv preprint arXiv:1712.06924 | December 2017, pp. 8+1+8
Online learning and transfer for user adaptation in dialogue systems
Nicolas Carrara, Romain Laroche, Olivier Pietquin
Proceedings of the 18th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL) | August 2017
The complex negotiation dialogue game
Romain Laroche
Proceedings of the 21st Workshop on on the Semantics and Pragmatics of Dialogues (SemDial) | August 2017
A methodology for turn-taking capabilities enhancement in Spoken Dialogue Systems using Reinforcement Learning
Hatim Khouzaimi, Romain Laroche, Fabrice Lefèvre
Computer Speech & Language | July 2017, Vol 47: pp. 93-111
Hybrid Reward Architecture for Reinforcement Learning
Harm van Seijen, Mehdi Fatemi, Joshua Romoff, Romain Laroche, Tavian Barnes, Jeffrey Tsang
Neural Information Processing Systems (NIPS) | June 2017
Transfer Reinforcement Learning with Shared Dynamics
Romain Laroche
Proceedings of the 3rd Multidisciplinary Conference on Reinforcement Learning and Decision Making | June 2017
Algorithm selection of reinforcement learning algorithms
Romain Laroche
Proceedings of the 3rd Multidisciplinary Conference on Reinforcement Learning and Decision Making | June 2017
Multi-Advisor Reinforcement Learning
Romain Laroche, Mehdi Fatemi, Harm van Seijen, Joshua Romoff
April 2017
arXiv:1704.00756
Improving Scalability of Reinforcement Learning by Separation of Concerns
Harm van Seijen, Mehdi Fatemi, Josh Romoff, Romain Laroche
arXiv | March 2017
Separation of Concerns in Reinforcement Learning
Harm van Seijen, Mehdi Fatemi, Joshua Romoff, Romain Laroche
aRXiv | March 2017
Learning dialogue dynamics with the method of moments
Merwan Barlier, Romain Laroche, Olivier Pietquin
Proceedings of 2016 IEEE Spoken Language Technology Workshop (SLT) | December 2016
A Stochastic Model for Computer-Aided Human-Human Dialogue
Merwan Barlier, Romain Laroche, Olivier Pietquin
Proceedings of the 17th Annual Conference of the International Speech Communication Association (Interspeech) | September 2016
True Online Temporal-Difference Learning
Harm van Seijen, Ashique Rupam Mahmood, Patrick M. Pilarski, Marlos C. Machado, Richard Sutton
Journal of Machine Learning Research | September 2016, Vol 17/145: pp. 1-40
Effective Multi-step Temporal-Difference Learning for Non-Linear Function Approximation
Harm van Seijen
aRXiv | August 2016
Reinforcement Learning for Turn-Taking Management in Incremental Spoken Dialogue Systems
Hatim Khouzaimi, Romain Laroche, Fabrice Lefevre
Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI) | July 2016
Policy Networks with Two-Stage Training for Dialogue Systems
Mehdi Fatemi, Layla El Asri, Hannes Schulz, Jing He, Kaheer Suleman
Proceedings of SIGDial 2016 | June 2016
Score-based Inverse Reinforcement Learning
Layla El Asri, Bilal Piot, Matthieu Geist, Romain Laroche, Olivier Pietquin
Proceedings of the 15th International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS) | May 2016
Transfer Learning for User Adaptation in Spoken Dialogue Systems
Aude Genevay, Romain Laroche
Proceedings of the 15th International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS) | May 2016
Score-based inverse reinforcement learning
Layla El Asri, Bilal Piot, Matthieu Geist, Romain Laroche, Olivier Pietquin
Proceedings of AAMAS | May 2016
Compact and Interpretable Dialogue State Representation with Genetic Sparse Distributed Memory
Layla El Asri, Romain Laroche, Olivier Pietquin
Proceedings of IWSDS | January 2016
Turn-taking phenomena in incremental dialogue systems
Hatim Khouzaimi, Romain Laroche, Fabrice Lefevre
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing (EMNLP) | September 2015
Human-Machine Dialogue as a Stochastic Game
Merwan Barlier, Romain Laroche, Olivier Pietquin
Proceedings of the 16th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL) | August 2015
Optimising Turn-Taking Strategies With Reinforcement Learning
Hatim Khouzaimi, Romain Laroche, Fabrice Lefevre
Proceedings of the 16th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL) | August 2015
An Empirical Evaluation of True Online TD({lambda})
Harm van Seijen, Ashique Rupam Mahmood, Patrick M. Pilarski, Richard Sutton
aRXiv | July 2015
Content Finder AssistanT
Romain Laroche
Proceedings of the 18th International Conference on Intelligence in Next Generation Networks (ICIN) | February 2015
A Deeper Look at Planning as Learning from Replay
Harm van Seijen, Richard Sutton
RLDM ’15: Proceedings of the 2nd Multidisciplinary Conference on Reinforcement Learning and Decision Making | January 2015
Contextual Bandit for Active Learning: Active Thompson Sampling
Djallel Bouneffouf, Romain Laroche, Tanguy Urvoy, Raphael Feraud, Robin Allesiardo
Proceedings of the 21st International Conference on Neural Information Processing (ICONIP) | October 2014
An easy method to make dialogue systems incremental
Hatim Khouzaimi, Romain Laroche, Fabrice Lefevre
Proceedings of the 15th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL) | August 2014
Task Completion Transfer Learning for Reward Inference
Layla El Asri, Romain Laroche, Olivier Pietquin
Proceedings of MLIS | July 2014
Vers une approche simplifiée pour introduire le caractère incrémental dans les systèmes de dialogue
Hatim Khouzaimi, Romain Laroche, Fabrice Lefevre
Proceedings of the 21st Conference sur le Traitement Automatique des Langues Naturelles (TALN) | June 2014
True Online TD(λ)
Harm van Seijen, Richard Sutton
ICML’14, At Beijing | June 2014
DINASTI: Dialogues with a Negotiating Appointment Setting Interface
Layla El Asri, Romain Laroche, Olivier Pietquin
Proceedings of the 9th Edition of Language Resources and Evaluation Conference (LREC) | May 2014
Ordinal regression for interaction quality prediction
Layla El Asri, Hatim Khouzaimi, Romain Laroche, Olivier Pietquin
Proceedings of ICASSP | May 2014
NASTIA: Negotiating Appointment Setting Interface
Layla El Asri, Remi Lemonnier, Romain Laroche (rolaroch), Olivier Pietquin, Hatim Khouzaimi
Proceedings of LREC | May 2014
Will my Spoken Dialogue System be a Slow Learner?
Layla El Asri, Romain Laroche
Proceedings of the 14th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL) | August 2013
Cooking Coach Spoken/Multimodal Dialogue Systems
Romain Laroche, Jan Dziekan, Laurent Roussarie, Piotr Baczyk
Proceedings of the IJCAI Workshop on Cooking with Computers | August 2013
Efficient abstraction selection in reinforcement learning
Harm van Seijen, Shimon Whiteson, L.J.H.M. Kester
Computational Intelligence | August 2013, Vol 30-Apr: pp. 657-699
Efficient Abstraction Selection in Reinforcement Learning – Extended Abstract
Harm van Seijen, Shimon Whiteson, L.J.H.M. Kester
SARA’13 | July 2013
Reward Shaping for Statistical Optimisation of Dialogue Management
Layla El Asri, Romain Laroche, Olivier Pietquin
Proceedings of Statistical Language and Speech Processing | July 2013
Efficient Planning in MDPs by Small Backups
Harm van Seijen, Richard Sutton
ICML’13 | June 2013
Planning by Prioritized Sweeping with Small Backups
Harm van Seijen, Richard Sutton
aRXiv | January 2013
Reward Function Learning for Dialogue Management
Layla El Asri, Romain Laroche, Olivier Pietquin
Proceedings of the 6th «Starting Artificial Intelligence Research» Symposium (STAIRS) | August 2012
Exploiting Best-Match Equations for Efficient Reinforcement Learning
Harm van Seijen, Shimon Whiteson, Hado Van Hasselt, Marco A. Wiering
Journal of Machine Learning Research | June 2011, Vol 12: pp. 2045-2094
Online reinforcement learning for spoken dialogue systems: The story of a commercial deployment success
Ghislain Putois, Romain Laroche, Philippe Bretier
Proceedings of the 11th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL) | August 2010
Enhanced monitoring tools and online dialogue optimisation merged into a new Spoken Dialogue System design experience
Romain Laroche, Philippe Bretier, Ghislain Putois
Proceedings of the 11th Annual Conference of the International Speech Communication Association (Interspeech) | August 2010
Optimising a handcrafted dialogue system design
Romain Laroche, Ghislain Putois, Philippe Bretier
Proceedings of the 11th Annual Conference of the International Speech Communication Association (Interspeech) | August 2010
Raisonnement sur les incertitudes et apprentissage pour les systèmes de dialogue conventionnels
Romain Laroche
May 2010
Thèse de doctorat : PhD Thesis at Universite Paris VI, France | May 2010
Hybridisation of Expertise and Reinforcement Learning in Dialogue Systems
Romain Laroche, Ghislain Putois, Philippe Bretier, Bernadette Bouchon-Meunier
Proceedings of the 10th Annual Conference of the International Speech Communication Association (Interspeech), Special Session: Machine Learning for Adaptivity in Spoken Dialogue | August 2009
A theoretical and empirical analysis of Expected Sarsa
Harm van Seijen, Hado Van Hasselt, Shimon Whiteson, Marco A. Wiering
IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2009. ADPRL ’09 | May 2009
HYBASE: HYperspectral BAnd SElection
Piet Schwering, Herman H. P. Th. Bekman, Harm van Seijen
Proc SPIE | May 2009
Postponed Updates for Temporal-Difference Reinforcement Learning
Harm van Seijen, Shimon Whiteson
Ninth International Conference on Intelligent Systems Design and Applications, ISDA 2009, Pisa, Italy | January 2009
Uncertainty Management in Dialogue Systems
Romain Laroche, Bernadette Bouchon-Meunier, Philippe Bretier
Proceedings of the European Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU) | January 2008
Switching between different state representations in reinforcement learning
Harm van Seijen, Bram Bakker, L.J.H.M. Kester
Proceedings of the 26th IASTED International Conference on Artificial Intelligence and Applications | January 2008
Reinforcement Learning with Multiple, Qualitatively Different State Representations
Harm van Seijen, Bram Bakker, L.J.H.M. Kester
Proceedings of NIPS 2007 Workshop on Hierarchical Organization of Behavior | April 2007
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Population Histories of the United States Revealed through Fine-Scale Migration and Haplotype Analysis
Chengzhen L. Dai, Mohammad M. Vazifeh, Chen-Hsiang Yeang, Remi Tachet des Combes, R. Spencer Wells, Miguel G. Vilar, Mark J. Daly, Carlo Ratti, Alicia R. Martin
The American Journal of Human Genetics | March 2020, Vol 106(3): pp. 371-388
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Learning Dynamic Belief Graphs to Generalize on Text-Based Games
Ashutosh Adhikari, Xingdi Yuan, Marc-Alexandre Côté, Mikulas Zelinka, Marc-Antoine Rondeau, Romain Laroche, Pascal Poupart, Jian Tang, Adam Trischler, William L. Hamilton
NeurIPS 2020 | October 2020
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Score-based inverse reinforcement learning
Layla El Asri, Bilal Piot, Matthieu Geist, Romain Laroche, Olivier Pietquin
Proceedings of AAMAS | May 2016
Compact and Interpretable Dialogue State Representation with Genetic Sparse Distributed Memory
Layla El Asri, Romain Laroche, Olivier Pietquin
Proceedings of IWSDS | January 2016
Task Completion Transfer Learning for Reward Inference
Layla El Asri, Romain Laroche, Olivier Pietquin
Proceedings of MLIS | July 2014
Ordinal regression for interaction quality prediction
Layla El Asri, Hatim Khouzaimi, Romain Laroche, Olivier Pietquin
Proceedings of ICASSP | May 2014
NASTIA: Negotiating Appointment Setting Interface
Layla El Asri, Remi Lemonnier, Romain Laroche (rolaroch), Olivier Pietquin, Hatim Khouzaimi
Proceedings of LREC | May 2014
Reward Shaping for Statistical Optimisation of Dialogue Management
Layla El Asri, Romain Laroche, Olivier Pietquin
Proceedings of Statistical Language and Speech Processing | July 2013
Publication Type
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Shortest-Path Constrained Reinforcement Learning for Sparse Reward Tasks
Sungryull Sohn, Sungtae Lee, Jongwook Choi, Harm van Seijen, Honglak Lee, Mehdi Fatemi
2021 International Conference on Machine Learning | May 2021
Learning to Represent Action Values as a Hypergraph on the Action Vertices
Arash Tavakoli, Mehdi Fatemi, Petar Kormushev
2021 International Conference on Learning Representations (ICLR’21) | May 2021
Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift
Remi Tachet des Combes, Han Zhao, Yu-Xiang Wang, Geoff Gordon
NeurIPS | December 2020
Learning Dynamic Belief Graphs to Generalize on Text-Based Games
Ashutosh Adhikari, Xingdi Yuan, Marc-Alexandre Côté, Mikulas Zelinka, Marc-Antoine Rondeau, Romain Laroche, Pascal Poupart, Jian Tang, Adam Trischler, William L. Hamilton
NeurIPS 2020 | October 2020
Reinforcement Learning Framework for Deep Brain Stimulation Study
Dmitrii Krylov, Remi Tachet des Combes, Romain Laroche, Michael Rosenblum, Dmitry V. Dylov
International Joint Conference on Artificial Intelligence | July 2020
A Reduction from Reinforcement Learning to No-Regret Online Learning
Ching-An Cheng, Remi Tachet des Combes, Byron Boots, Geoff Gordon
International Conference on Artificial Intelligence and Statistics | June 2020
Safe Policy Improvement with an Estimated Baseline Policy
Thiago D. Simao, Romain Laroche, Remi Tachet des Combes
International Conference on Autonomous Agents and Multi-Agent Systems | May 2020
Using a Logarithmic Mapping to Enable Lower Discount Factors in Reinforcement Learning
Harm van Seijen, Mehdi Fatemi, Arash Tavakoli
Neural Information Processing Systems (NeurIPS) | December 2019
Oral Presentation
Safe Policy Improvement with Soft Baseline Bootstrapping
Kimia Nadjahi, Romain Laroche, Remi Tachet des Combes
European Conference in Machine Learning (ECML-PKDD) | September 2019
SPIBB-DQN: Safe Batch Reinforcement Learning with Function Approximation
Romain Laroche, Remi Tachet des Combes
The 4th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM) | July 2019
Multi-batch Reinforcement Learning
Romain Laroche, Remi Tachet des Combes
The 4th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM) | July 2019
On the Learning Dynamics of Deep Neural Networks
Remi Tachet des Combes
ICML – Theoretical Physics for Deep Learning Workshop | June 2019
On Learning Invariant Representation for Domain Adaptation
Han Zhao, Remi Tachet des Combes, Kun Zhang, Geoff Gordon
International Conference on Machine Learning | June 2019
Dead-ends and Secure Exploration in Reinforcement Learning
Mehdi Fatemi, Shikhar Sharma, Harm van Seijen, Samira Ebrahimi Kahou
Proceedings of the 36th International Conference on Machine Learning (ICML) | June 2019
Spotlight Presentation
An Empirical Study of Example Forgetting during Deep Neural Network Learning
Mariya Toneva, Alessandro Sordoni, Remi Tachet des Combes, Adam Trischler, Yoshua Bengio, Geoff Gordon
ICLR 2019 | April 2019
Counting to Explore and Generalize in Text-based Games
Xingdi Yuan, Marc-Alexandre Côté, Alessandro Sordoni, Romain Laroche, Remi Tachet des Combes, Matthew Hausknecht, Adam Trischler
European Workshop on Reinforcement Learning (EWRL) | October 2018
Training Dialogue Systems With Human Advice
Merwan Barlier, Romain Laroche, Olivier Pietquin
Proceedings of the 17th International Conference on Autonomous Agents and Multiagent Systems (AAMAS) | July 2018
Counting to Explore and Generalize in Text-based Games
Xingdi Yuan, Marc-Alexandre Côté, Alessandro Sordoni, Romain Laroche, Remi Tachet des Combes, Matthew Hausknecht, Adam Trischler
ICML 2018 | June 2018
In reinforcement learning, all objective functions are not equal
Romain Laroche, Harm van Seijen
Proceedings of the 6th International Conference on Learning Representations (ICLR) – workshop track | May 2018
Reinforcement Learning Algorithm Selection
Romain Laroche, Raphael Feraud
Proceedings of the 6th International Conference on Learning Representations (ICLR) | May 2018
On Value Function Representation of Long Horizon Problems
Lucas Lehnert, Romain Laroche, Harm van Seijen
Proceedings of the 33rd AAAI international conference | February 2018
Online learning and transfer for user adaptation in dialogue systems
Nicolas Carrara, Romain Laroche, Olivier Pietquin
Proceedings of the 18th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL) | August 2017
The complex negotiation dialogue game
Romain Laroche
Proceedings of the 21st Workshop on on the Semantics and Pragmatics of Dialogues (SemDial) | August 2017
Hybrid Reward Architecture for Reinforcement Learning
Harm van Seijen, Mehdi Fatemi, Joshua Romoff, Romain Laroche, Tavian Barnes, Jeffrey Tsang
Neural Information Processing Systems (NIPS) | June 2017
Transfer Reinforcement Learning with Shared Dynamics
Romain Laroche
Proceedings of the 3rd Multidisciplinary Conference on Reinforcement Learning and Decision Making | June 2017
Algorithm selection of reinforcement learning algorithms
Romain Laroche
Proceedings of the 3rd Multidisciplinary Conference on Reinforcement Learning and Decision Making | June 2017
Learning dialogue dynamics with the method of moments
Merwan Barlier, Romain Laroche, Olivier Pietquin
Proceedings of 2016 IEEE Spoken Language Technology Workshop (SLT) | December 2016
A Stochastic Model for Computer-Aided Human-Human Dialogue
Merwan Barlier, Romain Laroche, Olivier Pietquin
Proceedings of the 17th Annual Conference of the International Speech Communication Association (Interspeech) | September 2016
Reinforcement Learning for Turn-Taking Management in Incremental Spoken Dialogue Systems
Hatim Khouzaimi, Romain Laroche, Fabrice Lefevre
Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI) | July 2016
Policy Networks with Two-Stage Training for Dialogue Systems
Mehdi Fatemi, Layla El Asri, Hannes Schulz, Jing He, Kaheer Suleman
Proceedings of SIGDial 2016 | June 2016
Score-based Inverse Reinforcement Learning
Layla El Asri, Bilal Piot, Matthieu Geist, Romain Laroche, Olivier Pietquin
Proceedings of the 15th International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS) | May 2016
Transfer Learning for User Adaptation in Spoken Dialogue Systems
Aude Genevay, Romain Laroche
Proceedings of the 15th International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS) | May 2016
Score-based inverse reinforcement learning
Layla El Asri, Bilal Piot, Matthieu Geist, Romain Laroche, Olivier Pietquin
Proceedings of AAMAS | May 2016
Compact and Interpretable Dialogue State Representation with Genetic Sparse Distributed Memory
Layla El Asri, Romain Laroche, Olivier Pietquin
Proceedings of IWSDS | January 2016
Turn-taking phenomena in incremental dialogue systems
Hatim Khouzaimi, Romain Laroche, Fabrice Lefevre
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing (EMNLP) | September 2015
Human-Machine Dialogue as a Stochastic Game
Merwan Barlier, Romain Laroche, Olivier Pietquin
Proceedings of the 16th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL) | August 2015
Optimising Turn-Taking Strategies With Reinforcement Learning
Hatim Khouzaimi, Romain Laroche, Fabrice Lefevre
Proceedings of the 16th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL) | August 2015
Content Finder AssistanT
Romain Laroche
Proceedings of the 18th International Conference on Intelligence in Next Generation Networks (ICIN) | February 2015
A Deeper Look at Planning as Learning from Replay
Harm van Seijen, Richard Sutton
RLDM ’15: Proceedings of the 2nd Multidisciplinary Conference on Reinforcement Learning and Decision Making | January 2015
Contextual Bandit for Active Learning: Active Thompson Sampling
Djallel Bouneffouf, Romain Laroche, Tanguy Urvoy, Raphael Feraud, Robin Allesiardo
Proceedings of the 21st International Conference on Neural Information Processing (ICONIP) | October 2014
An easy method to make dialogue systems incremental
Hatim Khouzaimi, Romain Laroche, Fabrice Lefevre
Proceedings of the 15th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL) | August 2014
Task Completion Transfer Learning for Reward Inference
Layla El Asri, Romain Laroche, Olivier Pietquin
Proceedings of MLIS | July 2014
Vers une approche simplifiée pour introduire le caractère incrémental dans les systèmes de dialogue
Hatim Khouzaimi, Romain Laroche, Fabrice Lefevre
Proceedings of the 21st Conference sur le Traitement Automatique des Langues Naturelles (TALN) | June 2014
True Online TD(λ)
Harm van Seijen, Richard Sutton
ICML’14, At Beijing | June 2014
DINASTI: Dialogues with a Negotiating Appointment Setting Interface
Layla El Asri, Romain Laroche, Olivier Pietquin
Proceedings of the 9th Edition of Language Resources and Evaluation Conference (LREC) | May 2014
Ordinal regression for interaction quality prediction
Layla El Asri, Hatim Khouzaimi, Romain Laroche, Olivier Pietquin
Proceedings of ICASSP | May 2014
NASTIA: Negotiating Appointment Setting Interface
Layla El Asri, Remi Lemonnier, Romain Laroche (rolaroch), Olivier Pietquin, Hatim Khouzaimi
Proceedings of LREC | May 2014
Will my Spoken Dialogue System be a Slow Learner?
Layla El Asri, Romain Laroche
Proceedings of the 14th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL) | August 2013
Cooking Coach Spoken/Multimodal Dialogue Systems
Romain Laroche, Jan Dziekan, Laurent Roussarie, Piotr Baczyk
Proceedings of the IJCAI Workshop on Cooking with Computers | August 2013
Efficient Abstraction Selection in Reinforcement Learning – Extended Abstract
Harm van Seijen, Shimon Whiteson, L.J.H.M. Kester
SARA’13 | July 2013
Reward Shaping for Statistical Optimisation of Dialogue Management
Layla El Asri, Romain Laroche, Olivier Pietquin
Proceedings of Statistical Language and Speech Processing | July 2013
Efficient Planning in MDPs by Small Backups
Harm van Seijen, Richard Sutton
ICML’13 | June 2013
Reward Function Learning for Dialogue Management
Layla El Asri, Romain Laroche, Olivier Pietquin
Proceedings of the 6th «Starting Artificial Intelligence Research» Symposium (STAIRS) | August 2012
Online reinforcement learning for spoken dialogue systems: The story of a commercial deployment success
Ghislain Putois, Romain Laroche, Philippe Bretier
Proceedings of the 11th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL) | August 2010
Enhanced monitoring tools and online dialogue optimisation merged into a new Spoken Dialogue System design experience
Romain Laroche, Philippe Bretier, Ghislain Putois
Proceedings of the 11th Annual Conference of the International Speech Communication Association (Interspeech) | August 2010
Optimising a handcrafted dialogue system design
Romain Laroche, Ghislain Putois, Philippe Bretier
Proceedings of the 11th Annual Conference of the International Speech Communication Association (Interspeech) | August 2010
Hybridisation of Expertise and Reinforcement Learning in Dialogue Systems
Romain Laroche, Ghislain Putois, Philippe Bretier, Bernadette Bouchon-Meunier
Proceedings of the 10th Annual Conference of the International Speech Communication Association (Interspeech), Special Session: Machine Learning for Adaptivity in Spoken Dialogue | August 2009
A theoretical and empirical analysis of Expected Sarsa
Harm van Seijen, Hado Van Hasselt, Shimon Whiteson, Marco A. Wiering
IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2009. ADPRL ’09 | May 2009
Postponed Updates for Temporal-Difference Reinforcement Learning
Harm van Seijen, Shimon Whiteson
Ninth International Conference on Intelligent Systems Design and Applications, ISDA 2009, Pisa, Italy | January 2009
Uncertainty Management in Dialogue Systems
Romain Laroche, Bernadette Bouchon-Meunier, Philippe Bretier
Proceedings of the European Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU) | January 2008
Switching between different state representations in reinforcement learning
Harm van Seijen, Bram Bakker, L.J.H.M. Kester
Proceedings of the 26th IASTED International Conference on Artificial Intelligence and Applications | January 2008
Reinforcement Learning with Multiple, Qualitatively Different State Representations
Harm van Seijen, Bram Bakker, L.J.H.M. Kester
Proceedings of NIPS 2007 Workshop on Hierarchical Organization of Behavior | April 2007
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Texture Analysis of Coated Conductors by Micro-Raman and Synchrotron x-ray Diffraction
Teresa Puig, Anna Puig Molina, Narcis Mestres, Harm van Seijen, Francesc Alzina, Juan Carlos Gonzalez, Xavier Obradors, H. Graafsma, Alexander Usoskin, H.C. Freyhardt
Mat. Res. Soc. Symp. | January 2001, Vol 659
Population Histories of the United States Revealed through Fine-Scale Migration and Haplotype Analysis
Chengzhen L. Dai, Mohammad M. Vazifeh, Chen-Hsiang Yeang, Remi Tachet des Combes, R. Spencer Wells, Miguel G. Vilar, Mark J. Daly, Carlo Ratti, Alicia R. Martin
The American Journal of Human Genetics | March 2020, Vol 106(3): pp. 371-388
Safe Policy Improvement with Baseline Bootstrapping
Romain Laroche, Paul Trichelair
arXiv preprint arXiv:1712.06924 | December 2017, pp. 8+1+8
A methodology for turn-taking capabilities enhancement in Spoken Dialogue Systems using Reinforcement Learning
Hatim Khouzaimi, Romain Laroche, Fabrice Lefèvre
Computer Speech & Language | July 2017, Vol 47: pp. 93-111
Improving Scalability of Reinforcement Learning by Separation of Concerns
Harm van Seijen, Mehdi Fatemi, Josh Romoff, Romain Laroche
arXiv | March 2017
Separation of Concerns in Reinforcement Learning
Harm van Seijen, Mehdi Fatemi, Joshua Romoff, Romain Laroche
aRXiv | March 2017
True Online Temporal-Difference Learning
Harm van Seijen, Ashique Rupam Mahmood, Patrick M. Pilarski, Marlos C. Machado, Richard Sutton
Journal of Machine Learning Research | September 2016, Vol 17/145: pp. 1-40
Effective Multi-step Temporal-Difference Learning for Non-Linear Function Approximation
Harm van Seijen
aRXiv | August 2016
An Empirical Evaluation of True Online TD({lambda})
Harm van Seijen, Ashique Rupam Mahmood, Patrick M. Pilarski, Richard Sutton
aRXiv | July 2015
Efficient abstraction selection in reinforcement learning
Harm van Seijen, Shimon Whiteson, L.J.H.M. Kester
Computational Intelligence | August 2013, Vol 30-Apr: pp. 657-699
Planning by Prioritized Sweeping with Small Backups
Harm van Seijen, Richard Sutton
aRXiv | January 2013
Exploiting Best-Match Equations for Efficient Reinforcement Learning
Harm van Seijen, Shimon Whiteson, Hado Van Hasselt, Marco A. Wiering
Journal of Machine Learning Research | June 2011, Vol 12: pp. 2045-2094
HYBASE: HYperspectral BAnd SElection
Piet Schwering, Herman H. P. Th. Bekman, Harm van Seijen
Proc SPIE | May 2009
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Robust Natural Language Inference Models with Example Forgetting
Yadollah Yaghoobzadeh, Remi Tachet des Combes, T. J. Hazen, Alessandro Sordoni
November 2019
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Multi-Advisor Reinforcement Learning
Romain Laroche, Mehdi Fatemi, Harm van Seijen, Joshua Romoff
April 2017
arXiv:1704.00756
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Raisonnement sur les incertitudes et apprentissage pour les systèmes de dialogue conventionnels
Romain Laroche
May 2010
Thèse de doctorat : PhD Thesis at Universite Paris VI, France | May 2010