Julien Pérolat
Publications by Year
Research Areas
Reinforcement Learning in Robotics, Game Theory and Applications, Advanced Bandit Algorithms Research, Artificial Intelligence in Games, Sports Analytics and Performance
Most-Cited Works
- → A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning(2017)142 cited
- → Mastering the game of Stratego with model-free multiagent reinforcement learning(2022)138 cited
- → OpenSpiel: A Framework for Reinforcement Learning in Games(2019)106 cited
- → α-Rank: Multi-Agent Evaluation by Evolution(2019)71 cited
- → Actor-Critic Policy Optimization in Partially Observable Multiagent Environments(2018)71 cited
- → A multi-agent reinforcement learning model of common-pool resource appropriation(2017)68 cited
- Approximate dynamic programming for two-player zero-sum Markov games(2015)
- → Open-ended Learning in Symmetric Zero-sum Games(2019)46 cited