Alternatives and similar repositories for alpha_zero

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

• kevaday / alphazero-general
  A fast, generalized, and modified implementation of Deepmind's distinguished AlphaZero in PyTorch.
  ☆78Updated 7 months ago
• JoshVarty / AlphaZeroSimple
  The absolute most basic example of AlphaZero and Monte Carlo Tree Search I could come up with
  ☆218Updated 2 years ago
• rlglab / minizero
  MiniZero: An AlphaZero and MuZero Training Framework
  ☆96Updated 2 weeks ago
• sotetsuk / pgx
  ♟️ Vectorized RL game environments in JAX
  ☆513Updated 5 months ago
• google-deepmind / alphastar
  ☆489Updated 2 years ago
• baskuit / R-NaD
  Experimentation with Regularized Nash Dynamics on a GPU accelerated game
  ☆47Updated 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…
  ☆69Updated last year
• bwfbowen / muax
  A project that provides help for using DeepMind's mctx on gym-style environments.
  ☆60Updated 8 months ago
• lowrollr / turbozero
  fast + parallel AlphaZero in JAX
  ☆97Updated 7 months ago
• FLAIROx / JaxMARL
  Multi-Agent Reinforcement Learning with JAX
  ☆611Updated last month
• huangeddie / GymGo
  An environment of the board game Go using OpenAI's Gym API
  ☆175Updated 3 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
  ☆300Updated 5 months ago
• kaesve / muzero
  A clean implementation of MuZero and AlphaZero following the AlphaZero General framework. Train and Pit both algorithms against each othe…
  ☆160Updated 4 years ago
• openrlbenchmark / openrlbenchmark
  ☆235Updated 8 months ago
• Farama-Foundation / MicroRTS-Py
  A simple and highly efficient RTS-game-inspired environment for reinforcement learning (formerly Gym-MicroRTS)
  ☆261Updated last year
• NTT123 / a0-jax
  AlphaZero in JAX
  ☆78Updated last year
• koulanurag / muzero-pytorch
  Pytorch Implementation of MuZero
  ☆354Updated 2 years ago
• liuanji / WU-UCT
  A novel parallel UCT algorithm with linear speedup and negligible performance loss.
  ☆120Updated 4 years ago
• YeWR / EfficientZero
  Open-source codebase for EfficientZero, from "Mastering Atari Games with Limited Data" at NeurIPS 2021.
  ☆904Updated last year
• nikhilbarhate99 / min-decision-transformer
  Minimal implementation of Decision Transformer: Reinforcement Learning via Sequence Modeling in PyTorch for mujoco control tasks in Open…
  ☆278Updated 3 years ago
• JimOhman / model-based-rl
  Implementation of MuZero with PyTorch, based on the pseudocode from DeepMind (https://arxiv.org/src/1911.08265v2/anc/pseudocode.py).
  ☆33Updated 2 years ago
• google-deepmind / meltingpot
  A suite of test scenarios for multi-agent reinforcement learning.
  ☆726Updated last week
• michaelnny / deep_rl_zoo
  A collection of Deep Reinforcement Learning algorithms implemented with PyTorch to solve Atari games and classic control tasks like CartP…
  ☆115Updated last year
• Shengjiewang-Jason / EfficientZeroV2
  [ICML 2024, Spotlight] EfficientZero V2: Mastering Discrete and Continuous Control with Limited Data
  ☆91Updated last year
• kimbring2 / AlphaStar_Implementation
  This project is implementation code of AlphaStar
  ☆201Updated last year
• MichaelTMatthews / Craftax
  (Crafter + NetHack) in JAX. ICML 2024 Spotlight.
  ☆330Updated last month
• luchris429 / purejaxrl
  Really Fast End-to-End Jax RL Implementations
  ☆931Updated 10 months ago
• araffin / sbx
  SBX: Stable Baselines Jax (SB3 + Jax) RL algorithms
  ☆488Updated this week
• EdanToledo / Stoix
  🏛️A research-friendly codebase for fast experimentation of single-agent reinforcement learning in JAX • End-to-End JAX RL
  ☆346Updated this week
• pbsinclair42 / MCTS
  A simple package to allow users to run Monte Carlo Tree Search on any perfect information domain
  ☆231Updated last year