Alternatives and similar repositories for AlphaZeroSimple

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

• foersterrobert / AlphaZeroFromScratch
  ☆221Updated last year
• kevaday / alphazero-general
  A fast, generalized, and modified implementation of Deepmind's distinguished AlphaZero in PyTorch.
  ☆78Updated 7 months ago
• koulanurag / muzero-pytorch
  Pytorch Implementation of MuZero
  ☆353Updated last year
• huangeddie / GymGo
  An environment of the board game Go using OpenAI's Gym API
  ☆174Updated 3 years ago
• kaesve / muzero
  A clean implementation of MuZero and AlphaZero following the AlphaZero General framework. Train and Pit both algorithms against each othe…
  ☆159Updated 4 years ago
• sotetsuk / pgx
  ♟️ Vectorized RL game environments in JAX
  ☆494Updated 4 months ago
• johan-gras / MuZero
  A structured implementation of MuZero
  ☆204Updated 3 years ago
• michaelnny / alpha_zero
  A PyTorch implementation of DeepMind's AlphaZero agent to play Go and Gomoku board games
  ☆143Updated 8 months ago
• foersterrobert / AlphaZero
  ☆30Updated 2 years ago
• YeWR / EfficientZero
  Open-source codebase for EfficientZero, from "Mastering Atari Games with Limited Data" at NeurIPS 2021.
  ☆902Updated last year
• Zeta36 / muzero
  A simple implementation of MuZero algorithm for connect4 game
  ☆96Updated 4 years ago
• genyrosk / gym-chess
  A simple chess environment for openai/gym
  ☆161Updated last year
• google-deepmind / dqn_zoo
  DQN Zoo is a collection of reference implementations of reinforcement learning agents developed at DeepMind based on the Deep Q-Network (…
  ☆474Updated last year
• geochri / AlphaZero_Chess
  PyTorch implementation of AlphaZero Chess from scratch
  ☆165Updated 11 months ago
• lowrollr / turbozero
  fast + parallel AlphaZero in JAX
  ☆97Updated 6 months ago
• EricSteinberger / DREAM
  Scalable implementation of DREAM - Deep RL for multi-agent imperfect information games
  ☆117Updated 11 months ago
• philtabor / Deep-Q-Learning-Paper-To-Code
  ☆411Updated 2 years ago
• michaelnny / deep_rl_zoo
  A collection of Deep Reinforcement Learning algorithms implemented with PyTorch to solve Atari games and classic control tasks like CartP…
  ☆114Updated last year
• google-deepmind / meltingpot
  A suite of test scenarios for multi-agent reinforcement learning.
  ☆719Updated this week
• Farama-Foundation / MicroRTS-Py
  A simple and highly efficient RTS-game-inspired environment for reinforcement learning (formerly Gym-MicroRTS)
  ☆258Updated last year
• instadeepai / jumanji
  🕹️ A diverse suite of scalable reinforcement learning environments in JAX
  ☆736Updated 3 weeks ago
• Bam4d / Griddly
  A grid-world game engine for game AI research
  ☆244Updated last year
• Stable-Baselines-Team / rl-colab-notebooks
  Colab notebooks part of the documentation of Stable Baselines reinforcement learning library
  ☆230Updated 5 months ago
• RobertTLange / gymnax
  RL Environments in JAX 🌍
  ☆779Updated last month
• ikostrikov / jaxrl
  JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.
  ☆693Updated 2 years ago
• DHDev0 / Stochastic-muzero
  Pytorch Implementation of Stochastic MuZero for gym environment. This algorithm is capable of supporting a wide range of action and obser…
  ☆67Updated last year
• plkmo / AlphaZero_Connect4
  PyTorch implementation of AlphaZero Connect from scratch (with results)
  ☆83Updated 5 years ago
• google-deepmind / dm_env
  A Python interface for reinforcement learning environments
  ☆371Updated 2 years ago
• Stable-Baselines-Team / stable-baselines
  Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms
  ☆302Updated 2 years ago
• luchris429 / purejaxrl
  Really Fast End-to-End Jax RL Implementations
  ☆906Updated 10 months ago