Romain Laroche

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 76

Top Topics

Function Approximation

Reinforcement Learning

Dialogue System

Top Venues

Publications

Harry Zhao, Safa Alver, Harm van Seijen, Romain Laroche, Doina Precup, Yoshua Bengio
Consciousness-Inspired Spatio-Temporal Abstractions for Better Generalization in Reinforcement Learning. ICLR (2024)
Jikun Kang, Romain Laroche, Xindi Yuan, Adam Trischler, Xue Liu, Jie Fu
Think Before You Act: Decision Transformers with Internal Working Memory. CoRR (2023)
Zhang-Wei Hong, Aviral Kumar, Sathwik Karnik, Abhishek Bhandwaldar, Akash Srivastava, Joni Pajarinen, Romain Laroche, Abhishek Gupta, Pulkit Agrawal
Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced Datasets. NeurIPS (2023)
Zhang-Wei Hong, Aviral Kumar, Sathwik Karnik, Abhishek Bhandwaldar, Akash Srivastava, Joni Pajarinen, Romain Laroche, Abhishek Gupta, Pulkit Agrawal
Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced Datasets. CoRR (2023)
Zhang-Wei Hong, Pulkit Agrawal, Remi Tachet des Combes, Romain Laroche
Harnessing Mixed Offline Reinforcement Learning Datasets via Trajectory Weighting. ICLR (2023)
Nathaniel Weir, Xingdi Yuan, Marc-Alexandre Côté, Matthew J. Hausknecht, Romain Laroche, Ida Momennejad, Harm van Seijen, Benjamin Van Durme
One-Shot Learning from a Demonstration with Hierarchical Latent Language. AAMAS (2023)
Hongyu Zang, Xin Li, Jie Yu, Chen Liu, Riashat Islam, Remi Tachet des Combes, Romain Laroche
Behavior Prior Representation learning for Offline Reinforcement Learning. ICLR (2023)
Yuchen Lu, Zhen Liu, Aristide Baratin, Romain Laroche, Aaron C. Courville, Alessandro Sordoni
Using Representation Expressiveness and Learnability to Evaluate Self-Supervised Learning Methods. Trans. Mach. Learn. Res. 2023 (2023)
Shangtong Zhang, Remi Tachet des Combes, Romain Laroche
On the Convergence of SARSA with Linear Function Approximation. ICML (2023)
Hiba Dakdouk, Raphaël Féraud, Nadège Varsier, Patrick Maillé, Romain Laroche
Massive multi-player multi-armed bandits for IoT networks: An application on LoRa networks. Ad Hoc Networks 151 (2023)
Hongyu Zang, Xin Li, Leiji Zhang, Yang Liu, Baigui Sun, Riashat Islam, Remi Tachet des Combes, Romain Laroche
Understanding and Addressing the Pitfalls of Bisimulation-based Representations in Offline Reinforcement Learning. NeurIPS (2023)
Romain Laroche, Remi Tachet des Combes
On the Occupancy Measure of Non-Markovian Policies in Continuous MDPs. ICML (2023)
Zhang-Wei Hong, Pulkit Agrawal, Rémi Tachet des Combes, Romain Laroche
Harnessing Mixed Offline Reinforcement Learning Datasets via Trajectory Weighting. CoRR (2023)
Mingde Zhao, Safa Alver, Harm van Seijen, Romain Laroche, Doina Precup, Yoshua Bengio
Combining Spatial and Temporal Abstraction in Planning for Better Generalization. CoRR (2023)
Hongyu Zang, Xin Li, Leiji Zhang, Yang Liu, Baigui Sun, Riashat Islam, Remi Tachet des Combes, Romain Laroche
Understanding and Addressing the Pitfalls of Bisimulation-based Representations in Offline Reinforcement Learning. CoRR (2023)
Romain Laroche, Remi Tachet des Combes, Jacob Buckman
Non-Markovian policies occupancy measures. CoRR (2022)
Yuchen Lu, Zhen Liu, Aristide Baratin, Romain Laroche, Aaron C. Courville, Alessandro Sordoni
Expressiveness and Learnability: A Unifying View for Evaluating Self-Supervised Learning. CoRR (2022)
David Brandfonbrener, Alberto Bietti, Jacob Buckman, Romain Laroche, Joan Bruna
When does return-conditioned supervised learning work for offline reinforcement learning? CoRR (2022)
David Brandfonbrener, Alberto Bietti, Jacob Buckman, Romain Laroche, Joan Bruna
When does return-conditioned supervised learning work for offline reinforcement learning? NeurIPS (2022)
Romain Laroche, Remi Tachet
Beyond the Policy Gradient Theorem for Efficient Policy Updates in Actor-Critic Algorithms. CoRR (2022)
Shangtong Zhang, Remi Tachet des Combes, Romain Laroche
On the Chattering of SARSA with Linear Function Approximation. CoRR (2022)
Riashat Islam, Hongyu Zang, Anirudh Goyal, Alex M. Lamb, Kenji Kawaguchi, Xin Li, Romain Laroche, Yoshua Bengio, Remi Tachet des Combes
Discrete Compositional Representations as an Abstraction for Goal Conditioned Reinforcement Learning. NeurIPS (2022)
David Brandfonbrener, Remi Tachet des Combes, Romain Laroche
Incorporating Explicit Uncertainty Estimates into Deep Offline Reinforcement Learning. CoRR (2022)
Nathaniel Weir, Xingdi Yuan, Marc-Alexandre Côté, Matthew J. Hausknecht, Romain Laroche, Ida Momennejad, Harm van Seijen, Benjamin Van Durme
One-Shot Learning from a Demonstration with Hierarchical Latent Language. CoRR (2022)
Shangtong Zhang, Remi Tachet des Combes, Romain Laroche
Global Optimality and Finite Sample Analysis of Softmax Off-Policy Actor Critic under State Distribution Mismatch. J. Mach. Learn. Res. 23 (2022)
Hongyu Zang, Xin Li, Jie Yu, Chen Liu, Riashat Islam, Remi Tachet des Combes, Romain Laroche
Behavior Prior Representation learning for Offline Reinforcement Learning. CoRR (2022)
Shangtong Zhang, Romain Laroche, Harm van Seijen, Shimon Whiteson, Remi Tachet des Combes
A Deeper Look at Discounting Mismatch in Actor-Critic Algorithms. AAMAS (2022)
Yoann Lemesle, Tristan Karch, Romain Laroche, Clément Moulin-Frier, Pierre-Yves Oudeyer
Emergence of Shared Sensory-motor Graphical Language from Visual Input. CoRR (2022)
Riashat Islam, Hongyu Zang, Anirudh Goyal, Alex Lamb, Kenji Kawaguchi, Xin Li, Romain Laroche, Yoshua Bengio, Remi Tachet des Combes
Discrete Factorial Representations as an Abstraction for Goal Conditioned Reinforcement Learning. CoRR (2022)
Romain Laroche, Remi Tachet des Combes
Beyond the Policy Gradient Theorem for Efficient Policy Updates in Actor-Critic Algorithms. AISTATS (2022)
Harsh Satija, Philip S. Thomas, Joelle Pineau, Romain Laroche
Multi-Objective SPIBB: Seldonian Offline Policy Improvement with Safety Constraints in Finite MDPs. NeurIPS (2021)
Shangtong Zhang, Remi Tachet des Combes, Romain Laroche
Global Optimality and Finite Sample Analysis of Softmax Off-Policy Actor Critic under State Distribution Mismatch. CoRR (2021)
Eva Portelance, Michael C. Frank, Dan Jurafsky, Alessandro Sordoni, Romain Laroche
The Emergence of the Shape Bias Results from Communicative Efficiency. CoNLL (2021)
Eva Portelance, Michael C. Frank, Dan Jurafsky, Alessandro Sordoni, Romain Laroche
The Emergence of the Shape Bias Results from Communicative Efficiency. CoRR (2021)
Harsh Satija, Philip S. Thomas, Joelle Pineau, Romain Laroche
Multi-Objective SPIBB: Seldonian Offline Policy Improvement with Safety Constraints in Finite MDPs. CoRR (2021)
Romain Laroche, Remi Tachet des Combes
Dr Jekyll & Mr Hyde: the strange case of off-policy policy updates. NeurIPS (2021)
Romain Laroche, Remi Tachet des Combes
Dr Jekyll and Mr Hyde: the Strange Case of Off-Policy Policy Updates. CoRR (2021)
Romain Laroche, Othmane Safsafi, Raphaël Féraud, Nicolas Broutin
Batched Bandits with Crowd Externalities. CoRR (2021)
Thiago D. Simão, Romain Laroche, Rémi Tachet des Combes
Safe Policy Improvement with an Estimated Baseline Policy. AAMAS (2020)
Dmitrii Krylov, Remi Tachet des Combes, Romain Laroche, Michael Rosenblum, Dmitry V. Dylov
Reinforcement Learning Framework for Deep Brain Stimulation Study. IJCAI (2020)
Ashutosh Adhikari, Xingdi Yuan, Marc-Alexandre Côté, Mikulas Zelinka, Marc-Antoine Rondeau, Romain Laroche, Pascal Poupart, Jian Tang, Adam Trischler, William L. Hamilton
Learning Dynamic Belief Graphs to Generalize on Text-Based Games. NeurIPS (2020)
Shangtong Zhang, Romain Laroche, Harm van Seijen, Shimon Whiteson, Remi Tachet des Combes
A Deeper Look at Discounting Mismatch in Actor-Critic Algorithms. CoRR (2020)
Ashutosh Adhikari, Xingdi Yuan, Marc-Alexandre Côté, Mikulas Zelinka, Marc-Antoine Rondeau, Romain Laroche, Pascal Poupart, Jian Tang, Adam Trischler, William L. Hamilton
Learning Dynamic Knowledge Graphs to Generalize on Text-Based Games. CoRR (2020)
Dmitrii Krylov, Rémi Tachet des Combes, Romain Laroche, Michael Rosenblum, Dmitry V. Dylov
Reinforcement Learning Framework for Deep Brain Stimulation Study. CoRR (2020)
Nicolas Carrara, Edouard Leurent, Romain Laroche, Tanguy Urvoy, Odalric-Ambrym Maillard, Olivier Pietquin
Scaling up budgeted reinforcement learning. CoRR (2019)
Kimia Nadjahi, Romain Laroche, Rémi Tachet des Combes
Safe Policy Improvement with Soft Baseline Bootstrapping. CoRR (2019)
Mikulas Zelinka, Xingdi Yuan, Marc-Alexandre Côté, Romain Laroche, Adam Trischler
Building Dynamic Knowledge Graphs from Text-based Games. CoRR (2019)
Thiago D. Simão, Romain Laroche, Rémi Tachet des Combes
Safe Policy Improvement with an Estimated Baseline Policy. CoRR (2019)
Kimia Nadjahi, Romain Laroche, Rémi Tachet des Combes
Safe Policy Improvement with Soft Baseline Bootstrapping. ECML/PKDD (3) (2019)
Raphaël Féraud, Réda Alami, Romain Laroche
Decentralized Exploration in Multi-Armed Bandits. ICML (2019)
Romain Laroche, Paul Trichelair, Remi Tachet des Combes
Safe Policy Improvement with Baseline Bootstrapping. ICML (2019)
Nicolas Carrara, Edouard Leurent, Romain Laroche, Tanguy Urvoy, Odalric-Ambrym Maillard, Olivier Pietquin
Budgeted Reinforcement Learning in Continuous State Space. NeurIPS (2019)
Merwan Barlier, Romain Laroche, Olivier Pietquin
Training Dialogue Systems With Human Advice. AAMAS (2018)
Hatim Khouzaimi, Romain Laroche, Fabrice Lefèvre
A methodology for turn-taking capabilities enhancement in Spoken Dialogue Systems using Reinforcement Learning. Comput. Speech Lang. 47 (2018)
Lucas Lehnert, Romain Laroche, Harm van Seijen
On Value Function Representation of Long Horizon Problems. AAAI (2018)
Raphaël Féraud, Réda Alami, Romain Laroche
Decentralized Exploration in Multi-Armed Bandits. CoRR (2018)
Xingdi Yuan, Marc-Alexandre Côté, Alessandro Sordoni, Romain Laroche, Remi Tachet des Combes, Matthew J. Hausknecht, Adam Trischler
Counting to Explore and Generalize in Text-based Games. CoRR (2018)
Romain Laroche, Raphaël Féraud
Reinforcement Learning Algorithm Selection. ICLR (Poster) (2018)
Romain Laroche, Harm van Seijen
In reinforcement learning, all objective functions are not equal. ICLR (Workshop) (2018)
Harm van Seijen, Mehdi Fatemi, Joshua Romoff, Romain Laroche, Tavian Barnes, Jeffrey Tsang
Hybrid Reward Architecture for Reinforcement Learning. CoRR (2017)
Romain Laroche, Mehdi Fatemi, Joshua Romoff, Harm van Seijen
Multi-Advisor Reinforcement Learning. CoRR (2017)
Romain Laroche, Merwan Barlier
Transfer Reinforcement Learning with Shared Dynamics. AAAI (2017)
Harm van Seijen, Mehdi Fatemi, Romain Laroche, Joshua Romoff, Tavian Barnes, Jeffrey Tsang
Hybrid Reward Architecture for Reinforcement Learning. NIPS (2017)
Romain Laroche
The Complex Negotiation Dialogue Game. CoRR (2017)
Romain Laroche, Raphaël Féraud
Algorithm selection of off-policy reinforcement learning algorithm. CoRR (2017)
Romain Laroche, Paul Trichelair
Safe Policy Improvement with Baseline Bootstrapping. CoRR (2017)
Aude Genevay, Romain Laroche
Transfer Learning for User Adaptation in Spoken Dialogue Systems. AAMAS (2016)
Tatiana Ekeinhor-Komi, Jean Léon Bouraoui, Romain Laroche, Fabrice Lefèvre
Towards a virtual personal assistant based on a user-defined portfolio of multi-domain vocal applications. SLT (2016)
Layla El Asri, Bilal Piot, Matthieu Geist, Romain Laroche, Olivier Pietquin
Score-based Inverse Reinforcement Learning. AAMAS (2016)
Hatim Khouzaimi, Romain Laroche, Fabrice Lefèvre
Incremental Human-Machine Dialogue Simulation. IWSDS (2016)
Harm van Seijen, Mehdi Fatemi, Joshua Romoff, Romain Laroche
Improving Scalability of Reinforcement Learning by Separation of Concerns. CoRR (2016)
Layla El Asri, Romain Laroche, Olivier Pietquin
Compact and Interpretable Dialogue State Representation with Genetic Sparse Distributed Memory. IWSDS (2016)
Romain Laroche, Aude Genevay
The Negotiation Dialogue Game. IWSDS (2016)
Hatim Khouzaimi, Romain Laroche, Fabrice Lefèvre
Reinforcement Learning for Turn-Taking Management in Incremental Spoken Dialogue Systems. IJCAI (2016)
Merwan Barlier, Romain Laroche, Olivier Pietquin
Learning dialogue dynamics with the method of moments. SLT (2016)
Merwan Barlier, Romain Laroche, Olivier Pietquin
A Stochastic Model for Computer-Aided Human-Human Dialogue. INTERSPEECH (2016)
Merwan Barlier, Julien Pérolat, Romain Laroche, Olivier Pietquin
Human-Machine Dialogue as a Stochastic Game. SIGDIAL Conference (2015)
Hatim Khouzaimi, Romain Laroche, Fabrice Lefèvre
Optimising Turn-Taking Strategies With Reinforcement Learning. SIGDIAL Conference (2015)
Hatim Khouzaimi, Romain Laroche, Fabrice Lefèvre
Dialogue Efficiency Evaluation of Turn-Taking Phenomena in a Multi-layer Incremental Simulated Environment. HCI (27) (2015)
Hatim Khouzaimi, Romain Laroche, Fabrice Lefèvre
Turn-taking phenomena in incremental dialogue systems. EMNLP (2015)
Romain Laroche
Content finder AssistanT. ICIN (2015)
Djallel Bouneffouf, Romain Laroche, Tanguy Urvoy, Raphaël Féraud, Robin Allesiardo
Contextual Bandit for Active Learning: Active Thompson Sampling. ICONIP (1) (2014)
Hatim Khouzaimi, Romain Laroche, Fabrice Lefèvre
An easy method to make dialogue systems incremental. SIGDIAL Conference (2014)
Romain Laroche
CFAsT: Content-Finder AssistanT [in French]. TALN (3) (2014)
Hatim Khouzaimi, Romain Laroche, Fabrice Lefèvre
DictaNum: a dialogue system for numbers dictation (DictaNum : système de dialogue incrémental pour la dictée de numéros.) [in French]. TALN (3) (2014)
Layla El Asri, Romain Laroche, Olivier Pietquin
DINASTI: Dialogues with a Negotiating Appointment Setting Interface. LREC (2014)
Layla El Asri, Hatim Khouzaimi, Romain Laroche, Olivier Pietquin
Ordinal regression for interaction quality prediction. ICASSP (2014)
Hatim Khouzaimi, Romain Laroche, Fabrice Lefèvre
A simple approach to make dialogue systems incremental (Vers une approche simplifiée pour introduire le caractère incrémental dans les systèmes de dialogue) [in French]. TALN (1) (2014)
Tatiana Ekeinhor-Komi, Hajar Falih, Christine Chardenon, Romain Laroche, Fabrice Lefèvre
Enia : A customizable multi-domain assistant (Un assistant vocal personnalisable) [in French]. TALN (3) (2014)
Layla El Asri, Rémi Lemonnier, Romain Laroche, Olivier Pietquin, Hatim Khouzaimi
NASTIA: Negotiating Appointment Setting Interface. LREC (2014)
Layla El Asri, Romain Laroche
Will my Spoken Dialogue System be a Slow Learner ? SIGDIAL Conference (2013)
Layla El Asri, Romain Laroche, Olivier Pietquin
Reward Shaping for Statistical Optimisation of Dialogue Management. SLSP (2013)
Layla El Asri, Romain Laroche, Olivier Pietquin
Reward Function Learning for Dialogue Management. STAIRS (2012)
Ghislain Putois, Romain Laroche, Philippe Bretier
Enhanced Monitoring Tools and Online Dialogue Optimisation Merged into a New Spoken Dialogue System Design Experience. SIGDIAL Conference (2010)
Romain Laroche, Philippe Bretier, Ghislain Putois
Enhanced monitoring tools and online dialogue optimisation merged into a new spoken dialogue system design experience. INTERSPEECH (2010)
Romain Laroche, Ghislain Putois, Philippe Bretier
Optimising a handcrafted dialogue system design. INTERSPEECH (2010)
Romain Laroche, Ghislain Putois, Philippe Bretier, Bernadette Bouchon-Meunier
Hybridisation of expertise and reinforcement learning in dialogue systems. INTERSPEECH (2009)