Julien Pérolat

A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning

Marc Lanctot, Vinícius Zambaldi, Audrūnas Gruslys et al. · arXiv (Cornell University) · 2017 · 142 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +16

Mastering the game of Stratego with model-free multiagent reinforcement learning

Julien Pérolat, Bart De Vylder, Daniel Hennes et al. · Science · 2022 · 136 citations

OpenSpiel: A Framework for Reinforcement Learning in Games

Marc Lanctot, Edward Lockhart, Jean-Baptiste Lespiau et al. · arXiv (Cornell University) · 2019 · 106 citations · Full text

Artificial Intelligence, Engineering, Stochastic Game +12

Actor-Critic Policy Optimization in Partially Observable Multiagent Environments

Sriram Srinivasan, Marc Lanctot, Vinícius Zambaldi et al. · arXiv (Cornell University) · 2018 · 71 citations · Full text

Mathematical Programming, Artificial Intelligence, Engineering +16

α-Rank: Multi-Agent Evaluation by Evolution

Shayegan Omidshafiei, Christos H. Papadimitriou, Georgios Piliouras et al. · Scientific Reports · 2019 · 71 citations · Full text