Paul Muller

4 papers · 2020–2025 · 3 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird

Venues

ICML (2) ICLR (1) IJCAI (1)

Top co-authors

Marc Lanctot (3) Luke Marris (3) Thore Graepel (2) Julien Pérolat (2) Daniel Hennes (2) Karl Tuyls (2) Kevin R. McKee (1) Rémi Munos (1) Mathieu Lauriere (1) Theophile Cabannes (1)

Research topics

Artificial Intelligence (3) Reinforcement Learning (3) Core AI (3) Methods (3) Mathematics & Optimization (2) Applications (2) Optimization (2)

Keywords

game theory (3) multi-agent system (2) deep reinforcement learning (2) bayesian inference (1) nash equilibrium (1) policy iteration (1) multi-agent learning (1) online mirror descent (1) monte carlo tree search (1) extensive-form game (1) correlated equilibrium (1) opponent modeling (1) mean field game (1) model-free learning (1) fictitious play (1) general-sum game (1) population-based training (1) n-player game (1) neural network (1) policy-spaced response oracle (1)

Papers

Combining Deep Reinforcement Learning and Search with Generative Models for Game-Theoretic Opponent Modeling IJCAI 2025 Scalable Deep Reinforcement Learning Algorithms for Mean Field Games ICML 2022 Multi-Agent Training beyond Zero-Sum with Correlated Equilibrium Meta-Solvers ICML 2021 A Generalized Training Approach for Multiagent Learning ICLR 2020