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
  ☆305Updated 3 years ago
• int8 / monte-carlo-tree-search
  Monte carlo tree search in python
  ☆606Updated 2 years ago
• brilee / python_uct
  Demo of UCT (MCTS) in Python / Numpy
  ☆86Updated 2 years ago
• RunzheYang / MORL
  Multi-Objective Reinforcement Learning
  ☆277Updated 3 years ago
• sfujim / TD3_BC
  Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL
  ☆361Updated 3 years ago
• hildensia / mcts
  An implementation of Monte Carlo Tree Search in python
  ☆162Updated 4 years ago
• liuanji / WU-UCT
  A novel parallel UCT algorithm with linear speedup and negligible performance loss.
  ☆120Updated 4 years ago
• sjtu-marl / malib
  A parallel framework for population-based multi-agent reinforcement learning.
  ☆532Updated last year
• aviralkumar2907 / CQL
  Code for conservative Q-learning
  ☆446Updated 3 years ago
• hayoung-kim / mcts-tic-tac-toe
  Monte Carlo Tree Search for tic tac toe
  ☆36Updated 6 years ago
• mpSchrader / gym-sokoban
  Sokoban environment for OpenAI Gym
  ☆372Updated last year
• initial-h / AlphaZero_Gomoku_MPI
  An asynchronous/parallel method of AlphaGo Zero algorithm with Gomoku
  ☆209Updated 3 months ago
• PatrickKorus / mcts-general
  General Python implementation of Monte Carlo Tree Search for the use with Open AI Gym environments.
  ☆40Updated 4 years ago
• JoshVarty / AlphaZeroSimple
  The absolute most basic example of AlphaZero and Monte Carlo Tree Search I could come up with
  ☆216Updated 2 years ago
• AboudyKreidieh / h-baselines
  A repository of high-performing hierarchical reinforcement learning models and algorithms.
  ☆314Updated 2 years ago
• LucasAlegre / morl-baselines
  Multi-Objective Reinforcement Learning algorithms implementations.
  ☆398Updated last week
• dhruvramani / Transformers-RL
  An easy PyTorch implementation of "Stabilizing Transformers for Reinforcement Learning"
  ☆180Updated 2 years ago
• lweitkamp / option-critic-pytorch
  PyTorch implementation of the Option-Critic framework, Harb et al. 2016
  ☆128Updated 10 months ago
• Farama-Foundation / D4RL-Evaluations
  ☆198Updated 2 years ago
• mlii / mfrl
  Mean Field Multi-Agent Reinforcement Learning
  ☆396Updated 5 years ago
• deligentfool / dqn_zoo
  The implement of all kinds of dqn reinforcement learning with Pytorch
  ☆93Updated 4 years ago
• toshikwa / sac-discrete.pytorch
  PyTorch implementation of SAC-Discrete.
  ☆305Updated 11 months ago
• 2019ChenGong / RL-Paper-notes
  ☆311Updated 2 years ago
• sfujim / BCQ
  Author's PyTorch implementation of BCQ for continuous and discrete actions
  ☆632Updated 4 years ago
• Ericonaldo / ILSwiss
  ILSwiss is an Easy-to-run Imitation Learning (IL, or Learning from Demonstration, LfD) and also Reinforcement Learning (RL) framework (te…
  ☆172Updated last year
• jidiai / ai_lib
  ☆165Updated last year
• bhansconnect / fast-alphazero-general
  A clean implementation based on Expert Iterations for any game, inspired by alpha-zero-general
  ☆44Updated 2 years ago
• cyoon1729 / deep-Q-networks
  Implementations of algorithms from the Q-learning family. Implementations inlcude: DQN, DDQN, Dueling DQN, PER+DQN, Noisy DQN, C51
  ☆301Updated 5 years ago
• jbradberry / mcts
  Board game AI implementations using Monte Carlo Tree Search
  ☆184Updated 5 years 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 …
  ☆27Updated 3 weeks ago