Romain Laroche

According to our database, Romain Laroche authored at least 78 papers between 2009 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Massive multi-player multi-armed bandits for IoT networks: An application on LoRa networks.

Hiba Dakdouk, Raphaël Féraud, Nadège Varsier, Patrick Maillé, Romain Laroche

Ad Hoc Networks, December, 2023

Combining Spatial and Temporal Abstraction in Planning for Better Generalization.

Mingde Zhao, Safa Alver, Harm van Seijen, Romain Laroche, Doina Precup, Yoshua Bengio

CoRR, 2023

Think Before You Act: Decision Transformers with Internal Working Memory.

Jikun Kang, Romain Laroche, Xindi Yuan, Adam Trischler, Xue Liu, Jie Fu

CoRR, 2023

Understanding and Addressing the Pitfalls of Bisimulation-based Representations in Offline Reinforcement Learning.

Hongyu Zang, Xin Li, Leiji Zhang, Yang Liu, Baigui Sun, Riashat Islam, Remi Tachet des Combes, Romain Laroche

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced Datasets.

Zhang-Wei Hong, Aviral Kumar, Sathwik Karnik, Abhishek Bhandwaldar, Akash Srivastava, Joni Pajarinen, Romain Laroche, Abhishek Gupta, Pulkit Agrawal

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

On the Convergence of SARSA with Linear Function Approximation.

Shangtong Zhang, Remi Tachet des Combes, Romain Laroche

Proceedings of the International Conference on Machine Learning, 2023

On the Occupancy Measure of Non-Markovian Policies in Continuous MDPs.

Romain Laroche, Remi Tachet des Combes

Proceedings of the International Conference on Machine Learning, 2023

Behavior Prior Representation learning for Offline Reinforcement Learning.

Hongyu Zang, Xin Li, Jie Yu, Chen Liu, Riashat Islam, Remi Tachet des Combes, Romain Laroche

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Harnessing Mixed Offline Reinforcement Learning Datasets via Trajectory Weighting.

Zhang-Wei Hong, Pulkit Agrawal, Remi Tachet des Combes, Romain Laroche

Proceedings of the Eleventh International Conference on Learning Representations, 2023

One-Shot Learning from a Demonstration with Hierarchical Latent Language.

Nathaniel Weir, Xingdi Yuan, Marc-Alexandre Côté, Matthew J. Hausknecht, Romain Laroche, Ida Momennejad, Harm van Seijen, Benjamin Van Durme

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

Global Optimality and Finite Sample Analysis of Softmax Off-Policy Actor Critic under State Distribution Mismatch.

Shangtong Zhang, Remi Tachet des Combes, Romain Laroche

J. Mach. Learn. Res., 2022

Discrete Factorial Representations as an Abstraction for Goal Conditioned Reinforcement Learning.

Riashat Islam, Hongyu Zang, Anirudh Goyal, Alex Lamb, Kenji Kawaguchi, Xin Li, Romain Laroche, Yoshua Bengio, Remi Tachet des Combes

CoRR, 2022

Emergence of Shared Sensory-motor Graphical Language from Visual Input.

Yoann Lemesle, Tristan Karch, Romain Laroche, Clément Moulin-Frier, Pierre-Yves Oudeyer

CoRR, 2022

Expressiveness and Learnability: A Unifying View for Evaluating Self-Supervised Learning.

Yuchen Lu, Zhen Liu, Aristide Baratin, Romain Laroche, Aaron C. Courville, Alessandro Sordoni

CoRR, 2022

Incorporating Explicit Uncertainty Estimates into Deep Offline Reinforcement Learning.

David Brandfonbrener, Remi Tachet des Combes, Romain Laroche

CoRR, 2022

Non-Markovian policies occupancy measures.

Romain Laroche, Remi Tachet des Combes, Jacob Buckman

CoRR, 2022

On the Chattering of SARSA with Linear Function Approximation.

Shangtong Zhang, Remi Tachet des Combes, Romain Laroche

CoRR, 2022

Discrete Compositional Representations as an Abstraction for Goal Conditioned Reinforcement Learning.

Riashat Islam, Hongyu Zang, Anirudh Goyal, Alex M. Lamb, Kenji Kawaguchi, Xin Li, Romain Laroche, Yoshua Bengio, Remi Tachet des Combes

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

When does return-conditioned supervised learning work for offline reinforcement learning?

David Brandfonbrener, Alberto Bietti, Jacob Buckman, Romain Laroche, Joan Bruna

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Deeper Look at Discounting Mismatch in Actor-Critic Algorithms.

Shangtong Zhang, Romain Laroche, Harm van Seijen, Shimon Whiteson, Remi Tachet des Combes

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

Beyond the Policy Gradient Theorem for Efficient Policy Updates in Actor-Critic Algorithms.

Romain Laroche, Remi Tachet des Combes

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Batched Bandits with Crowd Externalities.

Romain Laroche, Othmane Safsafi, Raphaël Féraud, Nicolas Broutin

CoRR, 2021

Dr Jekyll and Mr Hyde: the Strange Case of Off-Policy Policy Updates.

Romain Laroche, Remi Tachet des Combes

CoRR, 2021

Multi-Objective SPIBB: Seldonian Offline Policy Improvement with Safety Constraints in Finite MDPs.

Harsh Satija, Philip S. Thomas, Joelle Pineau, Romain Laroche

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Dr Jekyll & Mr Hyde: the strange case of off-policy policy updates.

Romain Laroche, Remi Tachet des Combes

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

The Emergence of the Shape Bias Results from Communicative Efficiency.

Eva Portelance, Michael C. Frank, Dan Jurafsky, Alessandro Sordoni, Romain Laroche

Proceedings of the 25th Conference on Computational Natural Language Learning, 2021

2020

Learning Dynamic Knowledge 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

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Reinforcement Learning Framework for Deep Brain Stimulation Study.

Dmitrii Krylov, Remi Tachet des Combes, Romain Laroche, Michael Rosenblum, Dmitry V. Dylov

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Safe Policy Improvement with an Estimated Baseline Policy.

Thiago D. Simão, Romain Laroche, Rémi Tachet des Combes

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019

Building Dynamic Knowledge Graphs from Text-based Games.

Mikulas Zelinka, Xingdi Yuan, Marc-Alexandre Côté, Romain Laroche, Adam Trischler

CoRR, 2019

Scaling up budgeted reinforcement learning.

Nicolas Carrara, Edouard Leurent, Romain Laroche, Tanguy Urvoy, Odalric-Ambrym Maillard, Olivier Pietquin

CoRR, 2019

Safe Policy Improvement with Soft Baseline Bootstrapping.

Kimia Nadjahi, Romain Laroche, Rémi Tachet des Combes

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Budgeted Reinforcement Learning in Continuous State Space.

Nicolas Carrara, Edouard Leurent, Romain Laroche, Tanguy Urvoy, Odalric-Ambrym Maillard, Olivier Pietquin

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Safe Policy Improvement with Baseline Bootstrapping.

Romain Laroche, Paul Trichelair, Remi Tachet des Combes

Proceedings of the 36th International Conference on Machine Learning, 2019

Decentralized Exploration in Multi-Armed Bandits.

Raphaël Féraud, Réda Alami, Romain Laroche

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

A methodology for turn-taking capabilities enhancement in Spoken Dialogue Systems using Reinforcement Learning.

Hatim Khouzaimi, Romain Laroche, Fabrice Lefèvre

Comput. Speech Lang., 2018

Counting to Explore and Generalize in Text-based Games.

Xingdi Yuan, Marc-Alexandre Côté, Alessandro Sordoni, Romain Laroche, Remi Tachet des Combes, Matthew J. Hausknecht, Adam Trischler

CoRR, 2018

In reinforcement learning, all objective functions are not equal.

Romain Laroche, Harm van Seijen

Proceedings of the 6th International Conference on Learning Representations, 2018

Reinforcement Learning Algorithm Selection.

Romain Laroche, Raphaël Féraud

Proceedings of the 6th International Conference on Learning Representations, 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, 2018

On Value Function Representation of Long Horizon Problems.

Lucas Lehnert, Romain Laroche, Harm van Seijen

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Safe Policy Improvement with Baseline Bootstrapping.

Romain Laroche, Paul Trichelair

CoRR, 2017

Multi-Advisor Reinforcement Learning.

Romain Laroche, Mehdi Fatemi, Joshua Romoff, Harm van Seijen

CoRR, 2017

Algorithm selection of off-policy reinforcement learning algorithm.

Romain Laroche, Raphaël Féraud

CoRR, 2017

The Complex Negotiation Dialogue Game.

Romain Laroche

CoRR, 2017

Hybrid Reward Architecture for Reinforcement Learning.

Harm van Seijen, Mehdi Fatemi, Romain Laroche, Joshua Romoff, Tavian Barnes, Jeffrey Tsang

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Transfer Reinforcement Learning with Shared Dynamics.

Romain Laroche, Merwan Barlier

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Improving Scalability of Reinforcement Learning by Separation of Concerns.

Harm van Seijen, Mehdi Fatemi, Joshua Romoff, Romain Laroche

CoRR, 2016

Towards a virtual personal assistant based on a user-defined portfolio of multi-domain vocal applications.

Tatiana Ekeinhor-Komi, Jean Léon Bouraoui, Romain Laroche, Fabrice Lefèvre

Proceedings of the 2016 IEEE Spoken Language Technology Workshop, 2016

Learning dialogue dynamics with the method of moments.

Merwan Barlier, Romain Laroche, Olivier Pietquin

Proceedings of the 2016 IEEE Spoken Language Technology Workshop, 2016

The Negotiation Dialogue Game.

Romain Laroche, Aude Genevay

Proceedings of the Dialogues with Social Robots, 2016

Incremental Human-Machine Dialogue Simulation.

Hatim Khouzaimi, Romain Laroche, Fabrice Lefèvre

Proceedings of the Dialogues with Social Robots, 2016

Compact and Interpretable Dialogue State Representation with Genetic Sparse Distributed Memory.

Layla El Asri, Romain Laroche, Olivier Pietquin

Proceedings of the Dialogues with Social Robots, 2016

A Stochastic Model for Computer-Aided Human-Human Dialogue.

Merwan Barlier, Romain Laroche, Olivier Pietquin

Proceedings of the Interspeech 2016, 2016

Reinforcement Learning for Turn-Taking Management in Incremental Spoken Dialogue Systems.

Hatim Khouzaimi, Romain Laroche, Fabrice Lefèvre

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Transfer Learning for User Adaptation in Spoken Dialogue Systems.

Aude Genevay, Romain Laroche

Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016

Score-based Inverse Reinforcement Learning.

Layla El Asri, Bilal Piot, Matthieu Geist, Romain Laroche, Olivier Pietquin

Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016

2015

Optimising Turn-Taking Strategies With Reinforcement Learning.

Hatim Khouzaimi, Romain Laroche, Fabrice Lefèvre

Proceedings of the SIGDIAL 2015 Conference, 2015

Human-Machine Dialogue as a Stochastic Game.

Merwan Barlier, Julien Pérolat, Romain Laroche, Olivier Pietquin

Proceedings of the SIGDIAL 2015 Conference, 2015

Content finder AssistanT.

Romain Laroche

Proceedings of the 18th International Conference on Intelligence in Next Generation Networks, 2015

Dialogue Efficiency Evaluation of Turn-Taking Phenomena in a Multi-layer Incremental Simulated Environment.

Hatim Khouzaimi, Romain Laroche, Fabrice Lefèvre

Proceedings of the HCI International 2015 - Posters' Extended Abstracts, 2015

Turn-taking phenomena in incremental dialogue systems.

Hatim Khouzaimi, Romain Laroche, Fabrice Lefèvre

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

2014

CFAsT: Content-Finder AssistanT [in French].

Romain Laroche

Proceedings of the Traitement Automatique des Langues Naturelles, 2014

DictaNum: a dialogue system for numbers dictation (DictaNum : système de dialogue incrémental pour la dictée de numéros.) [in French].

Hatim Khouzaimi, Romain Laroche, Fabrice Lefèvre

Proceedings of the Traitement Automatique des Langues Naturelles, 2014

A simple approach to make dialogue systems incremental (Vers une approche simplifiée pour introduire le caractère incrémental dans les systèmes de dialogue) [in French].

Hatim Khouzaimi, Romain Laroche, Fabrice Lefèvre

Proceedings of the Traitement Automatique des Langues Naturelles, 2014

Enia : A customizable multi-domain assistant (Un assistant vocal personnalisable) [in French].

Tatiana Ekeinhor-Komi, Hajar Falih, Christine Chardenon, Romain Laroche, Fabrice Lefèvre

Proceedings of the Traitement Automatique des Langues Naturelles, 2014

An easy method to make dialogue systems incremental.

Hatim Khouzaimi, Romain Laroche, Fabrice Lefèvre

Proceedings of the SIGDIAL 2014 Conference, 2014

DINASTI: Dialogues with a Negotiating Appointment Setting Interface.

Layla El Asri, Romain Laroche, Olivier Pietquin

Proceedings of the Ninth International Conference on Language Resources and Evaluation, 2014

NASTIA: Negotiating Appointment Setting Interface.

Layla El Asri, Rémi Lemonnier, Romain Laroche, Olivier Pietquin, Hatim Khouzaimi

Proceedings of the Ninth International Conference on Language Resources and Evaluation, 2014

Contextual Bandit for Active Learning: Active Thompson Sampling.

Djallel Bouneffouf, Romain Laroche, Tanguy Urvoy, Raphaël Féraud, Robin Allesiardo

Proceedings of the Neural Information Processing - 21st International Conference, 2014

Ordinal regression for interaction quality prediction.

Layla El Asri, Hatim Khouzaimi, Romain Laroche, Olivier Pietquin

Proceedings of the IEEE International Conference on Acoustics, 2014

2013

Reward Shaping for Statistical Optimisation of Dialogue Management.

Layla El Asri, Romain Laroche, Olivier Pietquin

Proceedings of the Statistical Language and Speech Processing, 2013

Will my Spoken Dialogue System be a Slow Learner ?

Layla El Asri, Romain Laroche

Proceedings of the SIGDIAL 2013 Conference, 2013

2012

Reward Function Learning for Dialogue Management.

Layla El Asri, Romain Laroche, Olivier Pietquin

Proceedings of the STAIRS 2012, 2012

2010

Optimising a handcrafted dialogue system design.

Romain Laroche, Ghislain Putois, Philippe Bretier

Proceedings of the INTERSPEECH 2010, 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 INTERSPEECH 2010, 2010

2009

Hybridisation of expertise and reinforcement learning in dialogue systems.

Romain Laroche, Ghislain Putois, Philippe Bretier, Bernadette Bouchon-Meunier

Proceedings of the INTERSPEECH 2009, 2009