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Board games with Reinforcement Learning. Peg Solitaire with an Actor Critic agent. NIM, Ledge (aka Gold Rush), and Hex with a Monte Carlo Tree Search agent.

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brandhaug/board-games-reinforcement-learning

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Solving board games with Reinforcement Learning in Scala

Applications

  • SoloMain is Peg Solitaire with Actor-Critic Reinforcement Learning
  • AdverserialMain is Hex, Nim and Gold Rush with Monte Carlo Tree Search (MCTS) Reinforcement Learning
  • TournamentMain is a Hex Online Tournament hosted by NTNU (requires certificate and VPN)

Libraries

  • JavaFX for UI
  • DeepLearning4J for Neural Networks

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Board games with Reinforcement Learning. Peg Solitaire with an Actor Critic agent. NIM, Ledge (aka Gold Rush), and Hex with a Monte Carlo Tree Search agent.

Topics

hex board reinforcement-learning nim q-learning policy-gradient monte-carlo-simulation monte-carlo-tree-search actor-critic peg-solitaire actor-critics

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