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Julien Pérolat

  1. Mastering the game of Stratego with model-free multiagent reinforcement learning
    2022/06/30 by Julien Pérolat, Julien Perolat, Bart de Vylder +38 · 6 voices · 21 citations
    Computer Science · Decision Sciences · #Reinforcement Learning in Robotics #Artificial Intelligence in Games #Advanced Bandit Algorithms Research
  2. Shaking the foundations: delusions in sequence models for interaction and control
    2021/10/20 by Pedro A. Ortega, Markus Kunesch, Ortega, Pedro A. +37 · 2 voices · 3 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Topic Modeling #cs.AI #cs.LG
  3. A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning
    2017/11/02 by Marc Lanctot, Lanctot, Marc, Vinícius Zambaldi +16 · 1 voice · 20 citations
    Computer Science · #Artificial Intelligence in Games #Evolutionary Algorithms and Applications #Reinforcement Learning in Robotics #cs.AI #cs.GT #cs.LG #cs.MA
  4. A multi-agent reinforcement learning model of common-pool resource appropriation
    2017/07/20 by Julien Perolat, Julien Pérolat, Joel Z. Leibo +11 · 1 voice · 7 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · Decision Sciences · Social Sciences · #Evolutionary Game Theory and Cooperation #Experimental Behavioral Economics Studies #FOS: Biological sciences #FOS: Computer and information sciences #Game Theory and Applications #Multiagent Systems (cs.MA) #Neural and Evolutionary Computing (cs.NE) #Populations and Evolution (q-bio.PE) #cs.MA #cs.NE #q-bio.PE
  5. OpenSpiel: A Framework for Reinforcement Learning in Games
    2019/08/26 by Marc Lanctot, Lanctot, Marc, Edward Lockhart +50 · 19 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
  6. α-Rank: Multi-Agent Evaluation by Evolution
    2019/03/04 by Shayegan Omidshafiei, Omidshafiei, Shayegan, Christos Papadimitriou +21 · 1 voice · 4 citations
    Computer Science · Economics, Econometrics and Finance · Social Sciences · #Artificial Intelligence in Games #Evolutionary Game Theory and Cooperation #Sports Analytics and Performance #cs.GT #cs.MA
  7. Learning in Mean Field Games: A Survey
    2022/05/25 by Mathieu Laurière, Laurière, Mathieu, Sarah Perrin +13 · 1 voice · 7 citations
    Economics, Econometrics and Finance · #Sports Analytics and Performance #cs.AI #cs.GT #cs.LG #math.OC
  8. Re-evaluating Evaluation
    2018/06/07 by David Balduzzi, Balduzzi, David, Karl Tuyls +5 · 5 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Computer Science and Game Theory (cs.GT) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  9. Fictitious Play for Mean Field Games: Continuous Time Analysis and\n Applications
    2020/07/05 by Sarah Perrin, Perrin, Sarah, Julien Pérolat +9 · 6 citations
    Decision Sciences · Computer Science · #Advanced Bandit Algorithms Research #Game Theory and Applications #Reinforcement Learning in Robotics
  10. Learning to Play No-Press Diplomacy with Best Response Policy Iteration
    2020/06/08 by Thomas Anthony, Anthony, Thomas, Tom Eccles +25 · 2 voices · 1 citation
    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
  11. Scalable Deep Reinforcement Learning Algorithms for Mean Field Games
    2022/03/22 by Mathieu Laurière, Laurière, Mathieu, Sarah Perrin +19 · 5 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
  12. Actor-Critic Policy Optimization in Partially Observable Multiagent\n Environments
    2018/10/21 by Sriram Srinivasan, Marc Lanctot, Srinivasan, Sriram +11 · 2 citations
    Computer Science · Decision Sciences · Economics, Econometrics and Finance · #Advanced Bandit Algorithms Research #Artificial Intelligence (cs.AI) #Artificial Intelligence in Games #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multiagent Systems (cs.MA) #Reinforcement Learning in Robotics #Sports Analytics and Performance
  13. Learning Correlated Equilibria in Mean-Field Games
    2022/08/22 by Paul Müller, Romuald Élie, Muller, Paul +17 · 1 citation
    Decision Sciences · Economics, Econometrics and Finance · Physics and Astronomy · #Advanced Thermodynamics and Statistical Mechanics #Computer Science and Game Theory (cs.GT) #Economic theories and models #FOS: Computer and information sciences #Game Theory and Applications #Machine Learning (stat.ML)
  14. Developing, Evaluating and Scaling Learning Agents in Multi-Agent Environments
    2022/09/22 by Ian Gemp, Gemp, Ian, T Anthony +51 · 1 citation
    Computer Science · #Reinforcement Learning in Robotics
  15. Mean Field Games Flock! The Reinforcement Learning Way
    2021/05/17 by Sarah Perrin, Mathieu Laurière, Perrin, Sarah +8 · 1 citation
    Computer Science · #Reinforcement Learning in Robotics #Distributed Control Multi-Agent Systems #Metaheuristic Optimization Algorithms Research
  16. Generalization in Mean Field Games by Learning Master Policies
    2021/09/20 by Sarah Perrin, Perrin, Sarah, Mathieu Laurière +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