Mcts Python Packages

essence-wars

High-performance card game environment

hexbot

Python framework for building Hex Connect-6 AI bots. AlphaZero self-play, MCTS, neural networks, C game engine, live training dashboard. Home of the Orca bot.

lightzero

[NeurIPS 2023 Spotlight] LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios (awesome MCTS)

hypernets

A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.

trimcts

High-performance C++ implementation of Monte Carlo Tree Search (MCTS) with Python bindings. Supports AlphaZero and MuZero paradigms, featuring batched network evaluation and efficient tree reuse.

myylearn

A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.

llm-mcts-inference

An experimental project using MCTS to refine LLM responses for better accuracy and decision-making.

chess-ant

Simulator to solve chess problems with MCTS Solver and Genetic Programming.

alphatriangle

An AlphaZero-style AI agent for a custom triangle puzzle game. Features distributed self-play with Ray, a C++ MCTS core, and a PyTorch neural network. Includes async logging via MLflow & TensorBoard.

pytamp

Robotics Task and Motion Planning Library

mcts-simple

mcts-simple is a Python3 library that implements Monte Carlo Tree Search and its variants to solve a host of problems, most commonly for reinforcement learning.

mcts-solver

Monte-Carlo tree search solver for chess-ant

gumbel-mcts

A lightweight and modular Gumbel MCTS implementation

dopamax

Reinforcement learning in pure JAX.

chappie-ai

Generalized AI to perform a multitude of tasks written in python3