masouduut94 / MCTS-agent-python

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.

Date Created 2019-10-10 (5 years ago)

Commits 29 (last one 8 months ago)

Stargazers 63 (0 this week)

Watchers 3 (0 this week)

Forks 9

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masouduut94/MCTS-agent-python is also tagged with popular topics, for these it's ranked: reinforcement-learning (#934/1313)

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mcts game-of-hex decision-space sequential-decisions reinforcement-learning monte-carlo-tree-search markov-decision-processes

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updated: 2024-11-14 @ 04:55pm, id: 214206049 / R_kgDODMSGYQ