Alternatives and similar repositories for MCTS:

Users that are interested in MCTS are comparing it to the libraries listed below

• haroldsultan / MCTS
  Python Implementations of Monte Carlo Tree Search
  ☆282Updated 3 years ago
• liuanji / WU-UCT
  A novel parallel UCT algorithm with linear speedup and negligible performance loss.
  ☆114Updated 3 years ago
• koulanurag / muzero-pytorch
  Pytorch Implementation of MuZero
  ☆347Updated last year
• int8 / monte-carlo-tree-search
  Monte carlo tree search in python
  ☆590Updated 2 years ago
• brilee / python_uct
  Demo of UCT (MCTS) in Python / Numpy
  ☆84Updated 2 years ago
• sjtu-marl / malib
  A parallel framework for population-based multi-agent reinforcement learning.
  ☆513Updated last year
• kaesve / muzero
  A clean implementation of MuZero and AlphaZero following the AlphaZero General framework. Train and Pit both algorithms against each othe…
  ☆156Updated 3 years ago
• michaelnny / alpha_zero
  A PyTorch implementation of DeepMind's AlphaZero agent to play Go and Gomoku board games
  ☆96Updated 2 months ago
• deligentfool / dqn_zoo
  The implement of all kinds of dqn reinforcement learning with Pytorch
  ☆92Updated 3 years ago
• jannerm / trajectory-transformer
  Code for the paper "Offline Reinforcement Learning as One Big Sequence Modeling Problem"
  ☆470Updated 2 years ago
• hildensia / mcts
  An implementation of Monte Carlo Tree Search in python
  ☆163Updated 4 years ago
• JoshVarty / AlphaZeroSimple
  The absolute most basic example of AlphaZero and Monte Carlo Tree Search I could come up with
  ☆200Updated last year
• PatrickKorus / mcts-general
  General Python implementation of Monte Carlo Tree Search for the use with Open AI Gym environments.
  ☆37Updated 4 years ago
• jidiai / ai_lib
  ☆159Updated last year
• MadryLab / implementation-matters
  ☆119Updated 5 months ago
• DenseLance / mcts-simple
  mcts-simple is a Python3 library that allows reinforcement learning problems to be solved easily with its implementations of Monte Carlo …
  ☆22Updated 7 months ago
• Farama-Foundation / MAgent
  An engine to create high performance multi-agent grid world environments with hundreds or thousands of agents, along with a set of refere…
  ☆190Updated 2 years ago
• jbradberry / mcts
  Board game AI implementations using Monte Carlo Tree Search
  ☆183Updated 4 years ago
• toshikwa / sac-discrete.pytorch
  PyTorch implementation of SAC-Discrete.
  ☆293Updated 5 months ago
• lweitkamp / option-critic-pytorch
  PyTorch implementation of the Option-Critic framework, Harb et al. 2016
  ☆121Updated 5 months ago
• aviralkumar2907 / CQL
  Code for conservative Q-learning
  ☆420Updated 3 years ago
• sungyubkim / Deep_RL_with_pytorch
  A pytorch tutorial for DRL(Deep Reinforcement Learning)
  ☆209Updated last year
• TonghanWang / ROMA
  Codes accompanying the paper "ROMA: Multi-Agent Reinforcement Learning with Emergent Roles" (ICML 2020 https://arxiv.org/abs/2003.08039)
  ☆153Updated 2 years ago
• vwxyzjn / ppo-implementation-details
  The source code for the blog post The 37 Implementation Details of Proximal Policy Optimization
  ☆672Updated 9 months ago
• schroederdewitt / multiagent_mujoco
  Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.
  ☆339Updated last year
• initial-h / AlphaZero_Gomoku_MPI
  An asynchronous/parallel method of AlphaGo Zero algorithm with Gomoku
  ☆191Updated 4 years ago
• dhruvramani / Transformers-RL
  An easy PyTorch implementation of "Stabilizing Transformers for Reinforcement Learning"
  ☆174Updated last year
• AboudyKreidieh / h-baselines
  A repository of high-performing hierarchical reinforcement learning models and algorithms.
  ☆289Updated last year
• Jingliang-Duan / DSAC-v1
  DSAC; Distributional Soft Actor-Critic
  ☆120Updated 10 months ago
• Farama-Foundation / MicroRTS-Py
  A simple and highly efficient RTS-game-inspired environment for reinforcement learning (formerly Gym-MicroRTS)
  ☆237Updated 6 months ago