Alternatives and similar repositories for mcts-viz:

Users that are interested in mcts-viz are comparing it to the libraries listed below

• JoshVarty / AlphaZeroSimple
  The absolute most basic example of AlphaZero and Monte Carlo Tree Search I could come up with
  ☆200Updated last year
• foersterrobert / AlphaZeroFromScratch
  ☆193Updated last year
• kevaday / alphazero-general
  A fast, generalized, and modified implementation of Deepmind's distinguished AlphaZero in PyTorch.
  ☆69Updated last month
• masouduut94 / MCTS-agent-python
  Monte Carlo Tree Search (MCTS) is a method for finding optimal decisions in a given domain by taking random samples in the decision space…
  ☆65Updated 10 months ago
• davidADSP / SIMPLE
  Selfplay In MultiPlayer Environments
  ☆313Updated 7 months ago
• michaelnny / alpha_zero
  A PyTorch implementation of DeepMind's AlphaZero agent to play Go and Gomoku board games
  ☆96Updated 2 months ago
• foersterrobert / AlphaZero
  ☆26Updated last year
• genyrosk / gym-chess
  A simple chess environment for openai/gym
  ☆154Updated 10 months ago
• AlexMGitHub / Checkers-MCTS
  A project to train a neural network to play Checkers through self-play combined with Monte Carlo Tree Search.
  ☆50Updated 3 years ago
• YeWR / EfficientZero
  Open-source codebase for EfficientZero, from "Mastering Atari Games with Limited Data" at NeurIPS 2021.
  ☆878Updated last year
• axelbr / racecar_gym
  A gym environment for a miniature racecar using the pybullet physics engine.
  ☆182Updated last year
• geochri / AlphaZero_Chess
  PyTorch implementation of AlphaZero Chess from scratch
  ☆135Updated 5 months ago
• araffin / sbx
  SBX: Stable Baselines Jax (SB3 + Jax) RL algorithms
  ☆377Updated this week
• johan-gras / MuZero
  A structured implementation of MuZero
  ☆207Updated 2 years ago
• deepanshut041 / Reinforcement-Learning
  Implementations of Deep Reinforcement Learning Algorithms and Bench-marking with PyTorch
  ☆116Updated 4 years ago
• Farama-Foundation / MAgent2
  An engine for high performance multi-agent environments with very large numbers of agents, along with a set of reference environments
  ☆254Updated 2 months ago
• hayoung-kim / mcts-tic-tac-toe
  Monte Carlo Tree Search for tic tac toe
  ☆35Updated 6 years ago
• lowrollr / turbozero
  fast + parallel AlphaZero in JAX
  ☆90Updated 3 weeks ago
• Talendar / flappy-bird-gym
  An OpenAI Gym environment for the Flappy Bird game
  ☆121Updated 2 years ago
• mpSchrader / gym-sokoban
  Sokoban environment for OpenAI Gym
  ☆335Updated last year
• pbsinclair42 / MCTS
  A simple package to allow users to run Monte Carlo Tree Search on any perfect information domain
  ☆218Updated 7 months ago
• henrycharlesworth / settlers_of_catan_RL
  Learning to play Settlers of Catan with Deep RL - custom training environment and implementation of PPO
  ☆82Updated 2 years ago
• NTT123 / a0-jax
  AlphaZero in JAX
  ☆73Updated 9 months ago
• koulanurag / muzero-pytorch
  Pytorch Implementation of MuZero
  ☆347Updated last year
• Farama-Foundation / MicroRTS-Py
  A simple and highly efficient RTS-game-inspired environment for reinforcement learning (formerly Gym-MicroRTS)
  ☆237Updated 6 months ago
• trackmania-rl / tmrl
  Reinforcement Learning for real-time applications - host of the TrackMania Roborace League
  ☆523Updated last month
• asdfjkl / neural_network_chess
  Free Book about Deep-Learning approaches for Chess (like AlphaZero, Leela Chess Zero and Stockfish NNUE)
  ☆304Updated 7 months ago
• strakam / generals-bots
  Develop your agent for generals.io!
  ☆38Updated this week
• ImparaAI / monte-carlo-tree-search
  Library for running a Monte Carlo tree search, either traditionally or with expert policies
  ☆120Updated 8 months ago
• huangeddie / GymGo
  An environment of the board game Go using OpenAI's Gym API
  ☆168Updated 2 years ago