← Authors

Olivier Pietquin

58 papers · 2011–2025 · 13 conferences · across top CS/AI conferences

Achievements

πŸ—ΊοΈ Taxonomy Completionist (20) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (8) πŸƒ Academic Marathon (14) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (13) 🌈 Renaissance Researcher (7) 🀝 Dynamic Duo (35) πŸ‘‘ Triple Crown 🧬 Topic Evolution πŸ† Grand Slam πŸ”¬ Deep Specialist (23) πŸ† Keyword Champion (2) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer πŸ”₯ Unstoppable (12) ⚑ Prolific Year (11) πŸ—ƒοΈ Keyword Collector (57) πŸ’Ž Century Club (58) ❓ The Questioner (5)

Conferences

ICML (12) NIPS (12) ICLR (7) AAAI (5) AISTATS (5) IJCAI (5) ACL (3) EMNLP (2) INTERSPEECH (2) NAACL (2) ACML (1) CVPR (1) IJCNLP (1)

Top co-authors

Matthieu Geist (35) Florian Strub (13) Julien PΓ©rolat (11) Bilal Piot (11) Leonard Hussenot (9) Nino Vieillard (9) Mathieu Lauriere (7) Sertan Girgin (7) Robert Dadashi (7) Olivier Bachem (6)

Keywords

reinforcement learning (18) deep reinforcement learning (7) fictitious play (7) multi-agent system (7) mean field game (6) policy learning (6) nash equilibrium (6) policy iteration (5) value iteration (5) imitation learning (5) markov game (4) game theory (4) policy optimization (4) markov decision process (4) reward function (4) entropy regularization (3) continuous control (3) off-policy learning (3) approximate dynamic programming (3) sample complexity (3)

Papers

NatureLM-audio: an Audio-Language Foundation Model for Bioacoustics ICLR 2025
Self-Improving Robust Preference Optimization ICLR 2025
Back to Basics: Revisiting REINFORCE-Style Optimization for Learning from Human Feedback in LLMs ACL 2024
Learning Discrete-Time Major-Minor Mean Field Games AAAI 2024
MusicRL: Aligning Music Generation to Human Preferences ICML 2024
Countering Reward Over-Optimization in LLM with Demonstration-Guided Reinforcement Learning ACL 2024
Contrastive Policy Gradient: Aligning LLMs on sequence-level scores in a supervised-friendly fashion EMNLP 2024
Regularization and Variance-Weighted Regression Achieves Minimax Optimality in Linear MDPs: Theory and Practice ICML 2023
On Imitation in Mean-field Games NIPS 2023
Factually Consistent Summarization via Reinforcement Learning with Textual Entailment Feedback ACL 2023
Generalization in Mean Field Games by Learning Master Policies AAAI 2022
Learning Natural Language Generation with Truncated Reinforcement Learning NAACL 2022
Scalable Deep Reinforcement Learning Algorithms for Mean Field Games ICML 2022
Continuous Control with Action Quantization from Demonstrations ICML 2022
Implicitly Regularized RL with Implicit Q-values AISTATS 2022
On the role of population heterogeneity in emergent communication ICLR 2022
Offline Reinforcement Learning as Anti-exploration AAAI 2022
Emergent Communication: Generalization and Overfitting in Lewis Games NIPS 2022
There Is No Turning Back: A Self-Supervised Approach for Reversibility-Aware Reinforcement Learning NIPS 2021
What Matters for Adversarial Imitation Learning? NIPS 2021
Mean Field Games Flock! The Reinforcement Learning Way IJCAI 2021
What Matters for On-Policy Deep Actor-Critic Methods? A Large-Scale Study ICLR 2021
Offline Reinforcement Learning with Pseudometric Learning ICML 2021
Primal Wasserstein Imitation Learning ICLR 2021
Adversarially Guided Actor-Critic ICLR 2021
Hyperparameter Selection for Imitation Learning ICML 2021
Don’t Do What Doesn’t Matter: Intrinsic Motivation with Action Usefulness IJCAI 2021
Fictitious Play for Mean Field Games: Continuous Time Analysis and Applications NIPS 2020
Munchausen Reinforcement Learning NIPS 2020
Leverage the Average: an Analysis of KL Regularization in Reinforcement Learning NIPS 2020
Deep Conservative Policy Iteration AAAI 2020
On the Convergence of Model Free Learning in Mean Field Games AAAI 2020
Foolproof Cooperative Learning ACML 2020
Momentum in Reinforcement Learning AISTATS 2020
Supervised Seeded Iterated Learning for Interactive Language Learning EMNLP 2020
Countering Language Drift with Seeded Iterated Learning ICML 2020
Self-Attentional Credit Assignment for Transfer in Reinforcement Learning IJCAI 2020
A Machine of Few Words: Interactive Speaker Recognition with Reinforcement Learning INTERSPEECH 2020
Budgeted Reinforcement Learning in Continuous State Space NIPS 2019
A Theory of Regularized Markov Decision Processes ICML 2019
Learning from a Learner ICML 2019
Actor-Critic Fictitious Play in Simultaneous Move Multistage Games AISTATS 2018
Noisy Networks For Exploration ICLR 2018
Is the Bellman residual a bad proxy? NIPS 2017
Learning Nash Equilibrium for General-Sum Markov Games from Batch Data AISTATS 2017
GuessWhat?! Visual Object Discovery Through Multi-Modal Dialogue CVPR 2017
Modulating early visual processing by language NIPS 2017
End-to-end optimization of goal-driven and visually grounded dialogue systems IJCAI 2017
Softened Approximate Policy Iteration for Markov Games ICML 2016
On the Use of Non-Stationary Strategies for Solving Two-Player Zero-Sum Markov Games AISTATS 2016
A Stochastic Model for Computer-Aided Human-Human Dialogue INTERSPEECH 2016
PAC learning of Probabilistic Automaton based on the Method of Moments ICML 2016
Approximate Dynamic Programming for Two-Player Zero-Sum Markov Games ICML 2015
Inverse Reinforcement Learning in Relational Domains IJCAI 2015
Difference of Convex Functions Programming for Reinforcement Learning NIPS 2014
Inverse Reinforcement Learning through Structured Classification NIPS 2012
Statistical User Simulation for Spoken Dialogue Systems: What for, Which Data, Which Future? NAACL 2012
Training a BN-based user model for dialogue simulation with missing data IJCNLP 2011