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Neil Burch

  1. Mastering the game of Stratego with model-free multiagent reinforcement learning
    2022/06/30 by Julien Perolat, Julien Pérolat, 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. The Hanabi challenge: A new frontier for AI research
    2019/02/01 by Nolan Bard, Jakob N. Foerster, Jakob Foerster +14 · 4 voices · 47 citations
    Computer Science · Decision Sciences · #Artificial Intelligence in Games #Reinforcement Learning in Robotics #Advanced Bandit Algorithms Research
  3. DeepStack: Expert-level artificial intelligence in heads-up no-limit poker
    2017/01/06 by Matej Moravčík, Martin Schmid, Neil Burch +7 · 3 voices · 71 citations
    Computer Science · Economics, Econometrics and Finance · Psychology · #Artificial Intelligence in Games #Sports Analytics and Performance #Gambling Behavior and Treatments
  4. Student of Games: A unified learning algorithm for both perfect and imperfect information games
    2021/12/06 by Martin Schmid, Matej Moravcik, Matej Moravčík +12 · 1 voice · 4 citations
    Computer Science · Social Sciences · #Artificial Intelligence in Games #Reinforcement Learning in Robotics #Digital Games and Media
  5. Bayes' Bluff: Opponent Modelling in Poker
    2012/07/04 by Finnegan Southey, Southey, Finnegan, Michael Bowling +11 · 16 citations
    Computer Science · Economics, Econometrics and Finance · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Games #Computer Science and Game Theory (cs.GT) #Data Visualization and Analytics #FOS: Computer and information sciences #Sports Analytics and Performance
  6. Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning
    2018/11/04 by Jakob Foerster, Francis Song, Foerster, Jakob N. +13 · 9 citations
    Computer Science · Engineering · #Anomaly Detection Techniques and Applications #Artificial Immune Systems Applications #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multiagent Systems (cs.MA) #Reinforcement Learning in Robotics