Mcts Python Packages

essence-wars

High-performance card game environment

lightzero

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

hexbot

Python framework for building AI bots for Hexagonal Connect-6

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.

llm-mcts-inference

An experimental project using Monte Carlo Tree Search (MCTS) to refine LLM responses for better accuracy and decision-making.

myylearn

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

chess-ant

Chess simulation with use of evolutional algorithms

alphatriangle

AlphaZero implementation for a triangle puzzle game (uses trianglengin).

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

dopamax

Reinforcement learning in pure JAX.

pytamp

Robotics Task and Motion Planning Library

gumbel-mcts

A lightweight, standalone, and modular Gumbel MCTS implementation

chappie-ai

Machine learning agent