← Authors

Julien Pérolat

22 papers · 2015–2022 · 7 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (7) 🏃 Academic Marathon (7) 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🌈 Renaissance Researcher (5) 🧭 Keyword Pioneer 🐝 Cross-Pollinator (10) 🗺️ Taxonomy Completionist (18) 🤝 Dynamic Duo (11) 👑 Triple Crown 🏆 Grand Slam 🔬 Deep Specialist (13) 🧬 Topic Evolution 🏆 Keyword Champion (7) ⚡ Prolific Year (6) 🗃️ Keyword Collector (80) 🔥 Unstoppable (8) 💎 Century Club (22) 📈 Trend Setter

Conferences

NIPS (7) ICML (6) AISTATS (3) AAAI (2) IJCAI (2) ACML (1) ICLR (1)

Top co-authors

Olivier Pietquin (11) Karl Tuyls (9) Marc Lanctot (7) Matthieu Geist (7) Thore Graepel (6) Bilal Piot (5) Rémi Munos (5) Romuald Elie (5) Mathieu Lauriere (5) Mark Rowland (4)

Keywords

nash equilibrium (11) game theory (10) multi-agent system (8) fictitious play (7) zero-sum game (7) reinforcement learning (5) mean field game (5) multi-agent reinforcement learning (4) markov game (4) deep reinforcement learning (3) imperfect information (2) policy optimization (2) model-free learning (2) neural network (2) policy iteration (2) stochastic game (2) two-player zero-sum game (2) equilibrium learning (1) evaluation methodology (1) policy learning (1)

Papers

Scalable Deep Reinforcement Learning Algorithms for Mean Field Games ICML 2022
Generalization in Mean Field Games by Learning Master Policies AAAI 2022
Mean Field Games Flock! The Reinforcement Learning Way IJCAI 2021
From Poincaré Recurrence to Convergence in Imperfect Information Games: Finding Equilibrium via Regularization ICML 2021
Learning to Play No-Press Diplomacy with Best Response Policy Iteration NIPS 2020
On the Convergence of Model Free Learning in Mean Field Games AAAI 2020
Fast computation of Nash Equilibria in Imperfect Information Games ICML 2020
Fictitious Play for Mean Field Games: Continuous Time Analysis and Applications NIPS 2020
Foolproof Cooperative Learning ACML 2020
A Generalized Training Approach for Multiagent Learning ICLR 2020
Multiagent Evaluation under Incomplete Information NIPS 2019
Open-ended learning in symmetric zero-sum games ICML 2019
Computing Approximate Equilibria in Sequential Adversarial Games by Exploitability Descent IJCAI 2019
Re-evaluating evaluation NIPS 2018
Actor-Critic Fictitious Play in Simultaneous Move Multistage Games AISTATS 2018
Actor-Critic Policy Optimization in Partially Observable Multiagent Environments NIPS 2018
Learning Nash Equilibrium for General-Sum Markov Games from Batch Data AISTATS 2017
A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning NIPS 2017
A multi-agent reinforcement learning model of common-pool resource appropriation NIPS 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
Approximate Dynamic Programming for Two-Player Zero-Sum Markov Games ICML 2015