Julien Pérolat

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

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🗺️ Taxonomy Completionist (18) 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird

🤝 Dynamic Duo (11) 🧬 Topic Evolution 👑 Triple Crown 🏆 Grand Slam 🔬 Deep Specialist (14) ⚡ Prolific Year · Productive 🔥 Unstoppable · Bronze 💎 Century Club · Bronze 📈 Trend Setter 🗃️ Keyword Collector (86)

Venues

NeurIPS (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)

Research topics

Reinforcement Learning (18) Artificial Intelligence (17) Core AI (17) Methods (16) Machine Learning (14) Learning Types · Machine Learning (10) Applications (8) Optimization & Theory (8) Mathematics & Optimization (7) Optimization (7) Deep Learning (2) Learning Types · Deep Learning (2)

Keywords

nash equilibrium (12) game theory (11) 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) multi-agent learning (2) stochastic game (2) two-player zero-sum game (2) neural network (2) policy iteration (2) equilibrium learning (1) evaluation methodology (1)

Papers

Generalization in Mean Field Games by Learning Master Policies AAAI 2022 Scalable Deep Reinforcement Learning Algorithms for Mean Field Games ICML 2022 From Poincaré Recurrence to Convergence in Imperfect Information Games: Finding Equilibrium via Regularization ICML 2021 Mean Field Games Flock! The Reinforcement Learning Way IJCAI 2021 A Generalized Training Approach for Multiagent Learning ICLR 2020 Fast computation of Nash Equilibria in Imperfect Information Games ICML 2020 Fictitious Play for Mean Field Games: Continuous Time Analysis and Applications NeurIPS 2020 Foolproof Cooperative Learning ACML 2020 Learning to Play No-Press Diplomacy with Best Response Policy Iteration NeurIPS 2020 On the Convergence of Model Free Learning in Mean Field Games AAAI 2020 Computing Approximate Equilibria in Sequential Adversarial Games by Exploitability Descent IJCAI 2019 Multiagent Evaluation under Incomplete Information NeurIPS 2019 Open-ended learning in symmetric zero-sum games ICML 2019 Actor-Critic Fictitious Play in Simultaneous Move Multistage Games AISTATS 2018 Actor-Critic Policy Optimization in Partially Observable Multiagent Environments NeurIPS 2018 Re-evaluating evaluation NeurIPS 2018 A multi-agent reinforcement learning model of common-pool resource appropriation NeurIPS 2017 A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning NeurIPS 2017 Learning Nash Equilibrium for General-Sum Markov Games from Batch Data AISTATS 2017 On the Use of Non-Stationary Strategies for Solving Two-Player Zero-Sum Markov Games AISTATS 2016 Softened Approximate Policy Iteration for Markov Games ICML 2016 Approximate Dynamic Programming for Two-Player Zero-Sum Markov Games ICML 2015