#Monte-carlo-tree-search
Showing 18 of 18 repositories tagged #monte-carlo-tree-search, ranked by stars
A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
Optimizing inference proxy for LLMs
MuZero
A curated list of Monte Carlo tree search papers with implementations.
A Hearthstone AI based on Monte Carlo tree search and neural nets written in modern C++.
Board game AI implementations using Monte Carlo Tree Search
Animal Fight Chess Game（斗兽棋） written in rust.
Various C# implementations of game AI
Generate correct code from unit-tests
Computer go engine using Monte-Carlo Tree Search (MCTS)
Pytorch Implementation of Stochastic MuZero for gym environment. This algorithm is capable of supporting a wide range of action and observation spaces, including both discrete and continuous variations.
Computer go engine using Monte-Carlo Tree Search written in Python3.
♟♟♟♟♟ A Gomoku game AI based on Monte Carlo Tree Search, can be trained on policy-value network now. 一个蒙特卡洛树搜索算法实现的五子棋 AI，现可用神经网络训练模型。
MCP-enabled AI conversation engine with MCTS analysis, FastAPI backend, and async operations for building advanced LLM applications
AlphaZero/TensorFlow.js game framework — train from scratch or play against a pre-trained AI in the browser. Ported from suragnair/alpha-zero-general (Python)
Pytorch Implementation of MuZero Unplugged for gym environment. This algorithm is capable of supporting a wide range of action and observation spaces, including both discrete and continuous variations.
UCThello - a board game demonstrator (Othello variant) with computer AI using Monte Carlo Tree Search (MCTS) with UCB (Upper Confidence Bounds) applied to trees (UCT in short)
Oware and Ouril - traditional African Mancala games with computer AI using Monte Carlo Tree Search (MCTS) with UCB (Upper Confidence Bounds) applied to trees (UCT in short)