MCTS-agent-cythonized

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MONTE Carlo Tree Search (MCTS) is a method for finding optimal decisions in a given domain by taking random samples in the decision space and building a search tree accordingly. It has already had a profound impact on Artificial Intelligence (AI) approaches for domains that can be represented as trees of sequential decisions, particularly games and planning problems. In this project I used a board game called "HEX" as a platform to test different simulation strategies in MCTS field.

cython last-good-reply markov-decision-processes monte-carlo-simulation monte-carlo-tree-search performance-optimization poolrave q-learning rapid-action-value-estimation reinforcement-learning

Creat：2019-11-11T23:48:25

Update：2024-07-24T03:46:21

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