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Matthieu Geist

58 papers · 2012–2025 · 13 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🌍 Conference Polyglot (13) 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (13) πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (13) πŸ—ΊοΈ Taxonomy Completionist (20) 🌈 Renaissance Researcher (7) 🀝 Dynamic Duo (35) πŸ‘‘ Triple Crown πŸ† Keyword Champion πŸ† Grand Slam πŸ”¬ Deep Specialist (23) πŸ—ƒοΈ Keyword Collector (50) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (7) ⚑ Prolific Year (10) πŸ’Ž Century Club (58) ❓ The Questioner (3)

Conferences

NIPS (18) ICML (13) ICLR (7) AAAI (5) AISTATS (3) IJCAI (3) JMLR (3) ACL (1) ACML (1) CORL (1) EMNLP (1) ICCV (1) UAI (1)

Top co-authors

Olivier Pietquin (35) Nino Vieillard (11) Olivier Bachem (10) Leonard Hussenot (10) Robert Dadashi (8) Sertan Girgin (8) Mathieu Lauriere (7) Julien PΓ©rolat (7) Bilal Piot (6) Bruno Scherrer (6)

Keywords

reinforcement learning (16) markov decision process (8) imitation learning (7) multi-agent system (7) mean field game (7) deep reinforcement learning (6) value iteration (6) fictitious play (6) reward function (5) nash equilibrium (5) policy optimization (5) policy iteration (5) sample complexity (5) policy learning (5) off-policy learning (4) neural network (4) continuous control (4) approximate dynamic programming (3) entropy regularization (3) inverse reinforcement learning (3)

Papers

Self-Improving Robust Preference Optimization ICLR 2025
Towards Minimax Optimality of Model-based Robust Reinforcement Learning UAI 2024
Near-Optimal Distributionally Robust Reinforcement Learning with General $L_p$ Norms NIPS 2024
Time-Constrained Robust MDPs NIPS 2024
Periodic agent-state based Q-learning for POMDPs NIPS 2024
Imitating Language via Scalable Inverse Reinforcement Learning NIPS 2024
Learning Discrete-Time Major-Minor Mean Field Games AAAI 2024
Contrastive Policy Gradient: Aligning LLMs on sequence-level scores in a supervised-friendly fashion EMNLP 2024
Closing the Gap between TD Learning and Supervised Learning - A Generalisation Point of View. ICLR 2024
On-Policy Distillation of Language Models: Learning from Self-Generated Mistakes ICLR 2024
MusicRL: Aligning Music Generation to Human Preferences ICML 2024
Nash Learning from Human Feedback ICML 2024
Policy Gradient for Rectangular Robust Markov Decision Processes NIPS 2023
The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model NIPS 2023
Policy Mirror Ascent for Efficient and Independent Learning in Mean Field Games ICML 2023
On Imitation in Mean-field Games NIPS 2023
Regularization and Variance-Weighted Regression Achieves Minimax Optimality in Linear MDPs: Theory and Practice ICML 2023
A Connection between One-Step RL and Critic Regularization in Reinforcement Learning ICML 2023
Extreme Q-Learning: MaxEnt RL without Entropy ICLR 2023
Factually Consistent Summarization via Reinforcement Learning with Textual Entailment Feedback ACL 2023
Generalization in Mean Field Games by Learning Master Policies AAAI 2022
Offline Reinforcement Learning as Anti-exploration AAAI 2022
Implicitly Regularized RL with Implicit Q-values AISTATS 2022
A general class of surrogate functions for stable and efficient reinforcement learning AISTATS 2022
Continuous Control with Action Quantization from Demonstrations ICML 2022
Large Batch Experience Replay ICML 2022
Scalable Deep Reinforcement Learning Algorithms for Mean Field Games ICML 2022
Learning Energy Networks with Generalized Fenchel-Young Losses NIPS 2022
There Is No Turning Back: A Self-Supervised Approach for Reversibility-Aware Reinforcement Learning NIPS 2021
Mean Field Games Flock! The Reinforcement Learning Way IJCAI 2021
Adversarially Guided Actor-Critic ICLR 2021
Primal Wasserstein Imitation Learning ICLR 2021
What Matters for On-Policy Deep Actor-Critic Methods? A Large-Scale Study ICLR 2021
Learning Behaviors through Physics-driven Latent Imagination CORL 2021
Offline Reinforcement Learning with Pseudometric Learning ICML 2021
Hyperparameter Selection for Imitation Learning ICML 2021
What Matters for Adversarial Imitation Learning? NIPS 2021
Twice regularized MDPs and the equivalence between robustness and regularization NIPS 2021
Munchausen Reinforcement Learning NIPS 2020
Momentum in Reinforcement Learning AISTATS 2020
Fictitious Play for Mean Field Games: Continuous Time Analysis and Applications NIPS 2020
Self-Attentional Credit Assignment for Transfer in Reinforcement Learning IJCAI 2020
On the Convergence of Model Free Learning in Mean Field Games AAAI 2020
Leverage the Average: an Analysis of KL Regularization in Reinforcement Learning NIPS 2020
Deep Conservative Policy Iteration AAAI 2020
Foolproof Cooperative Learning ACML 2020
A Theory of Regularized Markov Decision Processes ICML 2019
Learning from a Learner ICML 2019
ELF: Embedded Localisation of Features in Pre-Trained CNN ICCV 2019
Reconstruct & Crush Network NIPS 2017
Is the Bellman residual a bad proxy? NIPS 2017
Softened Approximate Policy Iteration for Markov Games ICML 2016
Inverse Reinforcement Learning in Relational Domains IJCAI 2015
Approximate Modified Policy Iteration and its Application to the Game of Tetris JMLR 2015
Off-policy Learning With Eligibility Traces: A Survey JMLR 2014
Difference of Convex Functions Programming for Reinforcement Learning NIPS 2014
A C++ Template-Based Reinforcement Learning Library: Fitting the Code to the Mathematics JMLR 2013
Inverse Reinforcement Learning through Structured Classification NIPS 2012