“‘Hidden-Information Game’ Tag”,2020-01-05 (RL exploration, meta-learning, MuZero, MARL)⁠:

Bibliography for tag reinforcement-learning/imperfect-information, most recent first: 5 related tags, 22 annotations, & 4 links (parent).

• See Also
• Links
  • “BetaZero: Belief-State Planning for Long-Horizon POMDPs Using Learned Approximations”, Moss et al 2023
  • “Posterior Sampling for Multi-Agent Reinforcement Learning: Solving Extensive Games With Imperfect Information”, Zhou et al 2023
  • “AlphaZe∗∗: AlphaZero-Like Baselines for Imperfect Information Games Are Surprisingly Strong”, Blüml et al 2023
  • “DeepNash: Mastering the Game of Stratego With Model-Free Multiagent Reinforcement Learning”, Perolat et al 2022
  • “DouZero: Mastering DouDizhu With Self-Play Deep Reinforcement Learning”, Zha et al 2021
  • “Vector Quantized Models for Planning”, Ozair et al 2021
  • “Suphx: Mastering Mahjong With Deep Reinforcement Learning”, Li et al 2020
  • “From Poincaré Recurrence to Convergence in Imperfect Information Games: Finding Equilibrium via Regularization”, Perolat et al 2020
  • “Finding Friend and Foe in Multi-Agent Games”, Serrino et al 2019
  • “Monte Carlo Neural Fictitious Self-Play: Approach to Approximate Nash Equilibrium of Imperfect-Information Games”, Zhang et al 2019
  • “A Survey and Critique of Multiagent Deep Reinforcement Learning”, Hernandez-Leal et al 2018
  • “Solving Imperfect-Information Games via Discounted Regret Minimization”, Brown & Sandholm2018
  • “ExIt-OOS: Towards Learning from Planning in Imperfect Information Games”, Kitchen & Benedetti2018
  • “Regret Minimization for Partially Observable Deep Reinforcement Learning”, Jin et al 2017
  • “LADDER: A Human-Level Bidding Agent for Large-Scale Real-Time Online Auctions”, Wang et al 2017
  • “Deep Recurrent Q-Learning for Partially Observable MDPs”, Hausknecht & Stone2015
  • “Monte-Carlo Planning in Large POMDPs”, Silver & Veness2010
  • “One Writer Enters International Competition to Play the World-Conquering Game That Redefines What It Means to Be a Geek (and a Person)”
  • “So Has AI Conquered Bridge?”
  • “The Steely, Headless King of Texas Hold ’Em”
  • “Artificial Intelligence Beats Eight World Champions at Bridge”
  • “A Poker-Playing Robot Goes to Work for the Pentagon”
  • Wikipedia
• Miscellaneous
• Bibliography