Alternatives and similar repositories for MCTS:

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

• pbsinclair42 / MCTS
  A simple package to allow users to run Monte Carlo Tree Search on any perfect information domain
  ☆222Updated 10 months ago
• int8 / monte-carlo-tree-search
  Monte carlo tree search in python
  ☆599Updated 2 years ago
• zhangchuheng123 / Reinforcement-Implementation
  Implementation of benchmark RL algorithms
  ☆466Updated 2 years ago
• sjtu-marl / malib
  A parallel framework for population-based multi-agent reinforcement learning.
  ☆525Updated last year
• ChenglongChen / pytorch-DRL
  PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.
  ☆570Updated 7 years ago
• vy007vikas / PyTorch-ActorCriticRL
  PyTorch implementation of DDPG algorithm for continuous action reinforcement learning problem.
  ☆407Updated 4 years ago
• 2019ChenGong / RL-Paper-notes
  ☆306Updated 2 years ago
• deligentfool / dqn_zoo
  The implement of all kinds of dqn reinforcement learning with Pytorch
  ☆93Updated 4 years ago
• jidiai / ai_lib
  ☆164Updated last year
• mlii / mfrl
  Mean Field Multi-Agent Reinforcement Learning
  ☆392Updated 5 years ago
• dxyang / DQN_pytorch
  Vanilla DQN, Double DQN, and Dueling DQN implemented in PyTorch
  ☆507Updated 6 years ago
• huawei-noah / xingtian
  xingtian is a componentized library for the development and verification of reinforcement learning algorithms
  ☆310Updated last year
• wangshusen / deep-rl
  Collection of Deep Reinforcement Learning algorithms
  ☆124Updated 8 years ago
• sisl / MADRL
  Repo containing code for multi-agent deep reinforcement learning (MADRL).
  ☆689Updated 2 years ago
• sfujim / BCQ
  Author's PyTorch implementation of BCQ for continuous and discrete actions
  ☆626Updated 4 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
  ☆293Updated 5 years ago
• StepNeverStop / RLs
  Reinforcement Learning Algorithms Based on PyTorch
  ☆449Updated 3 years ago
• sungyubkim / Deep_RL_with_pytorch
  A pytorch tutorial for DRL(Deep Reinforcement Learning)
  ☆211Updated 2 years ago
• xuehy / pytorch-maddpg
  A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)
  ☆651Updated 6 years ago
• aviralkumar2907 / CQL
  Code for conservative Q-learning
  ☆436Updated 3 years ago
• MorvanZhou / pytorch-A3C
  Simple A3C implementation with pytorch + multiprocessing
  ☆638Updated 2 years ago
• ucla-rlcourse / DeepRL-Tutorials
  Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
  ☆257Updated 4 years ago
• rlcode / per
  Prioritized Experience Replay (PER) implementation in PyTorch
  ☆333Updated 5 years ago
• PKU-RL / DGN
  DGN Code
  ☆347Updated 2 years ago
• Khrylx / PyTorch-RL
  PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…
  ☆1,196Updated 4 years ago
• hildensia / mcts
  An implementation of Monte Carlo Tree Search in python
  ☆162Updated 4 years ago
• jannerm / mbpo
  Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"
  ☆488Updated 2 years ago
• MatthewJA / Inverse-Reinforcement-Learning
  Implementations of selected inverse reinforcement learning algorithms.
  ☆1,011Updated 2 years ago
• toshikwa / sac-discrete.pytorch
  PyTorch implementation of SAC-Discrete.
  ☆302Updated 9 months ago
• google-deepmind / dqn
  Lua/Torch implementation of DQN (Nature, 2015)
  ☆601Updated 8 years ago