#Mcts
Showing 18 of 18 repositories tagged #mcts, ranked by stars
A collection of LLM papers, blogs, and projects, with a focus on OpenAI o1 π and reasoning techniques.
A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
MuZero
A Deep Learning UCI-Chess Variant Engine written in C++ & Python :parrot:
A student implementation of Alpha Go Zero
Visualization of MCTS algorithm applied to Tic-tac-toe.
Enterprise AI Red Team Platform | δΌδΈηΊ§AIηΊ’ιεΉ³ε° | 132 MCP Tools | Pure Python Engines | SDK+CLI+MCP | Auto-Download sqlmap/nuclei/ffuf | Production C2 | LLM Enhanced | Docker Sandbox | SARIF CI/CD | 1980 Tests
Research project: create a chess engine using Deep Reinforcement Learning
Allie: A UCI compliant chess engine
AlphaZero implementation for Othello, Connect-Four and Tic-Tac-Toe based on "Mastering the game of Go without human knowledge" and "Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm" by DeepMind.
Computer go engine using Monte-Carlo Tree Search (MCTS)
Computer go engine using Monte-Carlo Tree Search written in Python3.
A rust implementation of AlphaZero algorithm
MCP-enabled AI conversation engine with MCTS analysis, FastAPI backend, and async operations for building advanced LLM applications
π³ MCTS-inspired parallel beam search for conversation optimization. Explore multiple dialogue strategies simultaneously, stress-test against diverse user personas, score with multi-judge consensus, and discover winning conversation paths that single-shot LLMs miss.
Awesome LLM papers, news and projects about learning to reason with LLM, OpenAI o1, reasonning techniques, chain-of-thought (COT), Large Language Model, Straberry
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)