Pérolat, Julien

1. OpenSpiel: A Framework for Reinforcement Learning in Games
   2019/08/26 by Marc Lanctot, Lanctot, Marc, Edward Lockhart +50 · 23 citations
   Computer Science · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Games #Computer Science and Game Theory (cs.GT) #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multiagent Systems (cs.MA) #Reinforcement Learning in Robotics
2. Learning in Mean Field Games: A Survey
   2022/05/25 by Mathieu Laurière, Laurière, Mathieu, Sarah Perrin +13 · 1 voice · 9 citations
   Economics, Econometrics and Finance · #Sports Analytics and Performance #cs.AI #cs.GT #cs.LG #math.OC
3. Learning to Play No-Press Diplomacy with Best Response Policy Iteration
   2020/06/08 by Thomas Anthony, Tom Eccles, Anthony, Thomas +25 · 2 voices · 2 citations
   Computer Science · Economics, Econometrics and Finance · #Artificial Intelligence in Games #Reinforcement Learning in Robotics #Sports Analytics and Performance #cs.AI #cs.GT #cs.LG #cs.MA #stat.ML
4. Computing Approximate Equilibria in Sequential Adversarial Games by Exploitability Descent
   2019/03/13 by Lockhart, Edward, Lanctot, Marc, Pérolat, Julien +4 · 4 citations
   #Artificial Intelligence (cs.AI) #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #Machine Learning (cs.LG)
5. Scalable Deep Reinforcement Learning Algorithms for Mean Field Games
   2022/03/22 by Mathieu Laurière, Sarah Perrin, Laurière, Mathieu +19 · 6 citations
   Decision Sciences · Economics, Econometrics and Finance · #FOS: Computer and information sciences #FOS: Mathematics #Game Theory and Applications #Innovation Diffusion and Forecasting #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Sports Analytics and Performance
6. Concave Utility Reinforcement Learning: the Mean-Field Game Viewpoint
   2021/06/07 by Geist, Matthieu, Pérolat, Julien, Laurière, Mathieu +5 · 3 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multiagent Systems (cs.MA)
7. Mean Field Games Flock! The Reinforcement Learning Way
   2021/05/17 by Sarah Perrin, Perrin, Sarah, Mathieu Laurière +8 · 1 citation
   Computer Science · #Reinforcement Learning in Robotics #Distributed Control Multi-Agent Systems #Metaheuristic Optimization Algorithms Research
8. Learning Nash Equilibrium for General-Sum Markov Games from Batch Data
   2016/06/28 by Julien Pérolat, Pérolat, Julien, Florian Strub +5 · 1 citation
   Computer Science · Decision Sciences · #Reinforcement Learning in Robotics #Game Theory and Applications #Advanced Bandit Algorithms Research
9. Generalization in Mean Field Games by Learning Master Policies
   2021/09/20 by Sarah Perrin, Mathieu Laurière, Perrin, Sarah +8 · 1 citation
   Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #FOS: Mathematics #Game Theory and Applications #Machine Learning (cs.LG) #Multiagent Systems (cs.MA) #Optimization and Control (math.OC) #Reinforcement Learning in Robotics