Alternatives and similar repositories for minizero

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

• lowrollr / turbozero
  fast + parallel AlphaZero in JAX
  ☆109Updated last year
• DHDev0 / Stochastic-muzero
  Pytorch Implementation of Stochastic MuZero for gym environment. This algorithm is capable of supporting a wide range of action and obser…
  ☆75Updated 3 weeks ago
• bwfbowen / muax
  A project that provides help for using DeepMind's mctx on gym-style environments.
  ☆64Updated last year
• NTT123 / a0-jax
  AlphaZero in JAX
  ☆81Updated last year
• kaesve / muzero
  A clean implementation of MuZero and AlphaZero following the AlphaZero General framework. Train and Pit both algorithms against each othe…
  ☆168Updated 4 years ago
• vwxyzjn / cleanba
  CleanRL's implementation of DeepMind's Podracer Sebulba Architecture for Distributed DRL
  ☆121Updated last year
• Shengjiewang-Jason / EfficientZeroV2
  [ICML 2024, Spotlight] EfficientZero V2: Mastering Discrete and Continuous Control with Limited Data
  ☆100Updated last year
• baskuit / R-NaD
  Experimentation with Regularized Nash Dynamics on a GPU accelerated game
  ☆50Updated 2 years ago
• Reytuag / transformerXL_PPO_JAX
  ☆89Updated last year
• kevaday / alphazero-general
  A fast, generalized, and modified implementation of Deepmind's distinguished AlphaZero in PyTorch.
  ☆84Updated last year
• luchris429 / popjaxrl
  Benchmarking RL for POMDPs in Pure JAX [Code for "Structured State Space Models for In-Context Reinforcement Learning" (NeurIPS 2023)]
  ☆112Updated 2 years ago
• mttga / purejaxql
  Simple single-file baselines for Q-Learning in pure-GPU setting
  ☆232Updated last month
• Hwhitetooth / jax_muzero
  An implementation of MuZero in JAX.
  ☆57Updated 3 years ago
• facebookresearch / minimax
  Efficient baselines for autocurricula in JAX.
  ☆206Updated last year
• DHDev0 / Muzero-unplugged
  Pytorch Implementation of MuZero Unplugged for gym environment. This algorithm is capable of supporting a wide range of action and observ…
  ☆35Updated 6 months ago
• MarcoMeter / endless-memory-gym
  Challenging Memory-based Deep Reinforcement Learning Agents
  ☆109Updated last year
• MichaelTMatthews / Craftax
  (Crafter + NetHack) in JAX. ICML 2024 Spotlight.
  ☆364Updated 6 months ago
• DramaCow / jaxued
  ☆91Updated 4 months ago
• proroklab / popgym
  Partially Observable Process Gym
  ☆211Updated 7 months ago
• adityabingi / Dreamer
  Reproduction of Dreamerv1 and v2 in pytorch for deepmind control suite
  ☆47Updated 3 years ago
• hr0nix / omega
  A number of agents (PPO, MuZero) with a Perceiver-based NN architecture that can be trained to achieve goals in nethack/minihack environm…
  ☆43Updated 3 years ago
• tuero / muzero-cpp
  A C++ pytorch implementation of MuZero
  ☆40Updated last year
• facebookresearch / MRQ
  MR.Q is a general-purpose model-free reinforcement learning algorithm.
  ☆131Updated 6 months ago
• luchris429 / JaxLife
  An Open-Ended Agentic Simulator
  ☆58Updated last year
• sotetsuk / pgx
  ♟️ Vectorized RL game environments in JAX
  ☆575Updated 10 months ago
• keraJLi / synthetic-gymnax
  Drop-in environment replacements that make your RL algorithm train faster.
  ☆21Updated last year
• epignatelli / navix
  Accelerated minigrid environments with JAX
  ☆154Updated 3 months ago
• kenjyoung / mctx_learning_demo
  ☆53Updated 2 years ago
• google-research / reincarnating_rl
  [NeurIPS 2022] Open source code for reusing prior computational work in RL.
  ☆99Updated 2 years ago
• ollebompa / PGA-MAP-Elites
  Repository for the PGA-MAP-Elites algorithm. PGA-MAP-Elites was developed to efficiently scale MAP-Elites to large genotypes and noisy d…
  ☆58Updated 4 years ago