monte-carlo-tree-search topic

A Python library for Robotic Information Gathering

Weizhe-Chen

This is a pip package implementing Reinforcement Learning algorithms in non-stationary environments supported by the OpenAI Gym toolkit.

SuReLI

MiniZero: An AlphaZero and MuZero Training Framework

rlglab

A set of AIs for the 2048 tile-merging game. Includes an expectimax strategy that reaches 16384 with 34.6% success and an ML model trained with temporal difference learning.

qpwoeirut

SANNet Neural Network Framework

saaltone

Deep Reinforcement Learning to Play 2048 (with Keras)

SergioIommi

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 variation...

DHDev0

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...

DHDev0

Parallel Monte Carlo Tree Search, see README.md for more detailed usage and information.

CyCTW

🌳 Python implementation of single-player Monte-Carlo Tree Search.

FelixOpolka