Hybridisation of expertise and reinforcement learning in dialogue systems. - Romain Laroche; Ghislain Putois; Philippe Bretier; Bernadette Bouchon-Meunier (INTERSPEECH, 2009)

Optimising a handcrafted dialogue system design. - Romain Laroche; Ghislain Putois; Philippe Bretier (INTERSPEECH, 2010)

Enhanced Monitoring Tools and Online Dialogue Optimisation Merged into a New Spoken Dialogue System Design Experience. - Ghislain Putois; Romain Laroche; Philippe Bretier (SIGDIAL Conference, 2010)

Reward Function Learning for Dialogue Management. - Layla El Asri; Romain Laroche; Olivier Pietquin (STAIRS, 2012)

Will my Spoken Dialogue System be a Slow Learner ? - Layla El Asri; Romain Laroche (SIGDIAL Conference, 2013)

Reward Shaping for Statistical Optimisation of Dialogue Management. - Layla El Asri; Romain Laroche; Olivier Pietquin (SLSP, 2013)

Ordinal regression for interaction quality prediction. - Layla El Asri; Hatim Khouzaimi; Romain Laroche; Olivier Pietquin (ICASSP, 2014)

Contextual Bandit for Active Learning: Active Thompson Sampling. - Djallel Bouneffouf 001; Romain Laroche; Tanguy Urvoy; Raphaël Féraud; Robin Allesiardo (ICONIP (1), 2014)

NASTIA: Negotiating Appointment Setting Interface. - Layla El Asri; Rémi Lemonnier; Romain Laroche; Olivier Pietquin; Hatim Khouzaimi (LREC, 2014)

DINASTI: Dialogues with a Negotiating Appointment Setting Interface. - Layla El Asri; Romain Laroche; Olivier Pietquin (LREC, 2014)

An easy method to make dialogue systems incremental. - Hatim Khouzaimi; Romain Laroche; Fabrice Lefèvre (SIGDIAL Conference, 2014)

Enia : A customizable multi-domain assistant (Un assistant vocal personnalisable) [in French]. - Tatiana Ekeinhor-Komi; Hajar Falih; Christine Chardenon; Romain Laroche; Fabrice Lefèvre (TALN (3), 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 (TALN (1), 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 (TALN (3), 2014)

CFAsT: Content-Finder AssistanT [in French]. - Romain Laroche (TALN (3), 2014)

Turn-taking phenomena in incremental dialogue systems. - Hatim Khouzaimi; Romain Laroche; Fabrice Lefèvre (EMNLP, 2015)

Dialogue Efficiency Evaluation of Turn-Taking Phenomena in a Multi-layer Incremental Simulated Environment. - Hatim Khouzaimi; Romain Laroche; Fabrice Lefèvre (HCI (27), 2015)

Content finder AssistanT. - Romain Laroche (ICIN, 2015)

Human-Machine Dialogue as a Stochastic Game. - Merwan Barlier; Julien Pérolat; Romain Laroche; Olivier Pietquin (SIGDIAL Conference, 2015)

Optimising Turn-Taking Strategies With Reinforcement Learning. - Hatim Khouzaimi; Romain Laroche; Fabrice Lefèvre (SIGDIAL Conference, 2015)

Score-based Inverse Reinforcement Learning. - Layla El Asri; Bilal Piot; Matthieu Geist; Romain Laroche; Olivier Pietquin (AAMAS, 2016)

Transfer Learning for User Adaptation in Spoken Dialogue Systems. - Aude Genevay; Romain Laroche (AAMAS, 2016)

Reinforcement Learning for Turn-Taking Management in Incremental Spoken Dialogue Systems. - Hatim Khouzaimi; Romain Laroche; Fabrice Lefèvre (IJCAI, 2016)

A Stochastic Model for Computer-Aided Human-Human Dialogue. - Merwan Barlier; Romain Laroche; Olivier Pietquin (INTERSPEECH, 2016)

Compact and Interpretable Dialogue State Representation with Genetic Sparse Distributed Memory. - Layla El Asri; Romain Laroche; Olivier Pietquin (IWSDS, 2016)

Incremental Human-Machine Dialogue Simulation. - Hatim Khouzaimi; Romain Laroche; Fabrice Lefèvre (IWSDS, 2016)

The Negotiation Dialogue Game. - Romain Laroche; Aude Genevay (IWSDS, 2016)

Learning dialogue dynamics with the method of moments. - Merwan Barlier; Romain Laroche; Olivier Pietquin (SLT, 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 (SLT, 2016)

Improving Scalability of Reinforcement Learning by Separation of Concerns. - Harm van Seijen; Mehdi Fatemi; Joshua Romoff; Romain Laroche (CoRR, 2016)

Transfer Reinforcement Learning with Shared Dynamics. - Romain Laroche; Merwan Barlier (AAAI, 2017)

Hybrid Reward Architecture for Reinforcement Learning. - Harm van Seijen; Mehdi Fatemi; Romain Laroche; Joshua Romoff; Tavian Barnes; Jeffrey Tsang (NIPS, 2017)

The Complex Negotiation Dialogue Game. - Romain Laroche (CoRR, 2017)

Algorithm selection of off-policy reinforcement learning algorithm. - Romain Laroche; Raphaël Féraud (CoRR, 2017)

Multi-Advisor Reinforcement Learning. - Romain Laroche; Mehdi Fatemi; Joshua Romoff; Harm van Seijen (CoRR, 2017)

Safe Policy Improvement with Baseline Bootstrapping. - Romain Laroche; Paul Trichelair (CoRR, 2017)

On Value Function Representation of Long Horizon Problems. - Lucas Lehnert; Romain Laroche; Harm van Seijen (AAAI, 2018)

Training Dialogue Systems With Human Advice. - Merwan Barlier; Romain Laroche; Olivier Pietquin (AAMAS, 2018)

Reinforcement Learning Algorithm Selection. - Romain Laroche; Raphaël Féraud (ICLR (Poster), 2018)

In reinforcement learning, all objective functions are not equal. - Romain Laroche; Harm van Seijen (ICLR (Workshop), 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)

A methodology for turn-taking capabilities enhancement in Spoken Dialogue Systems using Reinforcement Learning. - Hatim Khouzaimi; Romain Laroche; Fabrice Lefèvre (Comput. Speech Lang., 2018)

Decentralized Exploration in Multi-Armed Bandits. - Raphaël Féraud; Réda Alami; Romain Laroche (ICML, 2019)

Safe Policy Improvement with Baseline Bootstrapping. - Romain Laroche; Paul Trichelair; Remi Tachet des Combes (ICML, 2019)

Budgeted Reinforcement Learning in Continuous State Space. - Nicolas Carrara; Edouard Leurent; Romain Laroche; Tanguy Urvoy; Odalric-Ambrym Maillard; Olivier Pietquin (NeurIPS, 2019)

Safe Policy Improvement with Soft Baseline Bootstrapping. - Kimia Nadjahi; Romain Laroche; Rémi Tachet des Combes (ECML/PKDD (3), 2019)

Scaling up budgeted reinforcement learning. - Nicolas Carrara; Edouard Leurent; Romain Laroche; Tanguy Urvoy; Odalric-Ambrym Maillard; Olivier Pietquin (CoRR, 2019)

Building Dynamic Knowledge Graphs from Text-based Games. - Mikulas Zelinka; Xingdi Yuan; Marc-Alexandre Côté; Romain Laroche; Adam Trischler (CoRR, 2019)

Safe Policy Improvement with an Estimated Baseline Policy. - Thiago D. Simão; Romain Laroche; Rémi Tachet des Combes (AAMAS, 2020)

Reinforcement Learning Framework for Deep Brain Stimulation Study. - Dmitrii Krylov; Remi Tachet des Combes; Romain Laroche; Michael Rosenblum; Dmitry V. Dylov (IJCAI, 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 005; Adam Trischler; William L. Hamilton (NeurIPS, 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 005; Adam Trischler; William L. Hamilton (CoRR, 2020)

The Emergence of the Shape Bias Results from Communicative Efficiency. - Eva Portelance; Michael C. Frank; Dan Jurafsky; Alessandro Sordoni; Romain Laroche (CoNLL, 2021)

Dr Jekyll & Mr Hyde: the strange case of off-policy policy updates. - Romain Laroche; Remi Tachet des Combes (NeurIPS, 2021)

Multi-Objective SPIBB: Seldonian Offline Policy Improvement with Safety Constraints in Finite MDPs. - Harsh Satija; Philip S. Thomas; Joelle Pineau; Romain Laroche (NeurIPS, 2021)

Dr Jekyll and Mr Hyde: the Strange Case of Off-Policy Policy Updates. - Romain Laroche; Remi Tachet des Combes (CoRR, 2021)

Batched Bandits with Crowd Externalities. - Romain Laroche; Othmane Safsafi; Raphaël Féraud; Nicolas Broutin (CoRR, 2021)

Beyond the Policy Gradient Theorem for Efficient Policy Updates in Actor-Critic Algorithms. - Romain Laroche; Remi Tachet des Combes (AISTATS, 2022)

A Deeper Look at Discounting Mismatch in Actor-Critic Algorithms. - Shangtong Zhang; Romain Laroche; Harm van Seijen; Shimon Whiteson; Remi Tachet des Combes (AAMAS, 2022)

When does return-conditioned supervised learning work for offline reinforcement learning? - David Brandfonbrener; Alberto Bietti; Jacob Buckman; Romain Laroche; Joan Bruna (NeurIPS, 2022)

Discrete Compositional Representations as an Abstraction for Goal Conditioned Reinforcement Learning. - Riashat Islam; Hongyu Zang; Anirudh Goyal; Alex Lamb; Kenji Kawaguchi; Xin Li 033; Romain Laroche; Yoshua Bengio; Remi Tachet des Combes (NeurIPS, 2022)

On the Chattering of SARSA with Linear Function Approximation. - Shangtong Zhang; Remi Tachet des Combes; Romain Laroche (CoRR, 2022)

Non-Markovian policies occupancy measures. - Romain Laroche; Remi Tachet des Combes; Jacob Buckman (CoRR, 2022)

Incorporating Explicit Uncertainty Estimates into Deep Offline Reinforcement Learning. - David Brandfonbrener; Remi Tachet des Combes; Romain Laroche (CoRR, 2022)

Expressiveness and Learnability: A Unifying View for Evaluating Self-Supervised Learning. - Yuchen Lu; Zhen Liu 019; Aristide Baratin; Romain Laroche; Aaron C. Courville; Alessandro Sordoni (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)

Discrete Factorial Representations as an Abstraction for Goal Conditioned Reinforcement Learning. - Riashat Islam; Hongyu Zang; Anirudh Goyal; Alex Lamb; Kenji Kawaguchi; Xin Li 033; Romain Laroche; Yoshua Bengio; Remi Tachet des Combes (CoRR, 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)

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 (AAMAS, 2023)

Harnessing Mixed Offline Reinforcement Learning Datasets via Trajectory Weighting. - Zhang-Wei Hong; Pulkit Agrawal 001; Remi Tachet des Combes; Romain Laroche (ICLR, 2023)

Behavior Prior Representation learning for Offline Reinforcement Learning. - Hongyu Zang; Xin Li 033; Jie Yu; Chen Liu; Riashat Islam; Remi Tachet des Combes; Romain Laroche (ICLR, 2023)

On the Occupancy Measure of Non-Markovian Policies in Continuous MDPs. - Romain Laroche; Remi Tachet des Combes (ICML, 2023)

On the Convergence of SARSA with Linear Function Approximation. - Shangtong Zhang; Remi Tachet des Combes; Romain Laroche (ICML, 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 004; Pulkit Agrawal 001 (NeurIPS, 2023)

Understanding and Addressing the Pitfalls of Bisimulation-based Representations in Offline Reinforcement Learning. - Hongyu Zang; Xin Li 033; Leiji Zhang; Yang Liu 356; Baigui Sun; Riashat Islam; Remi Tachet des Combes; Romain Laroche (NeurIPS, 2023)

Think Before You Act: Decision Transformers with Internal Working Memory. - Jikun Kang; Romain Laroche; Xindi Yuan; Adam Trischler; Xue Liu 004; Jie Fu (CoRR, 2023)

Combining Spatial and Temporal Abstraction in Planning for Better Generalization. - Mingde Zhao 001; Safa Alver; Harm van Seijen; Romain Laroche; Doina Precup; Yoshua Bengio (CoRR, 2023)

Using Representation Expressiveness and Learnability to Evaluate Self-Supervised Learning Methods. - Yuchen Lu; Zhen Liu 019; Aristide Baratin; Romain Laroche; Aaron C. Courville; Alessandro Sordoni (Trans. Mach. Learn. Res., 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, 2023)

Consciousness-Inspired Spatio-Temporal Abstractions for Better Generalization in Reinforcement Learning. - Harry Zhao 001; Safa Alver; Harm van Seijen; Romain Laroche; Doina Precup; Yoshua Bengio (ICLR, 2024)

Think Before You Act: Decision Transformers with Working Memory. - Jikun Kang; Romain Laroche; Xingdi Yuan; Adam Trischler; Xue Liu 001; Jie Fu 001 (ICML, 2024)

Learning Fused State Representations for Control from Multi-View Observations. - Zeyu Wang; Yao-Hui Li; Xin Li 033; Hongyu Zang; Romain Laroche; Riashat Islam (CoRR, 2025)