Alternatives and similar repositories for Muzero

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

• kenjyoung / mctx_learning_demo
  ☆53Updated 2 years ago
• epignatelli / discovering-reinforcement-learning-algorithms
  A Jax/Stax implementation of the general meta learning paper: Oh, J., Hessel, M., Czarnecki, W.M., Xu, Z., van Hasselt, H.P., Singh, S. a…
  ☆23Updated 4 years ago
• neuroevobench / neuroevobench
  Neuroevolution Benchmark in JAX 🦕
  ☆41Updated 2 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…
  ☆41Updated 3 years ago
• Hwhitetooth / jax_muzero
  An implementation of MuZero in JAX.
  ☆57Updated 3 years ago
• instadeepai / fastpbrl
  Vectorization techniques for fast population-based training.
  ☆56Updated 3 years ago
• floringogianu / atari-agents
  Code and links for over 25,000 trained Atari agents
  ☆98Updated last year
• Miffyli / nle-sample-factory-baseline
  ☆22Updated 8 months ago
• vwxyzjn / cleanba
  CleanRL's implementation of DeepMind's Podracer Sebulba Architecture for Distributed DRL
  ☆118Updated 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…
  ☆34Updated 5 months ago
• facebookresearch / level-replay
  This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …
  ☆92Updated 4 years ago
• jcoreyes / evolvingrl
  Supplementary Data for Evolving Reinforcement Learning Algorithms
  ☆47Updated 4 years ago
• jonasrothfuss / model_ensemble_meta_learning
  Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithm
  ☆44Updated 7 years ago
• linesd / tabular-methods
  Tabular methods for reinforcement learning
  ☆39Updated 5 years ago
• luchris429 / discovered-policy-optimisation
  Code for Discovered Policy Optimisation (NeurIPS 2022)
  ☆12Updated 2 years ago
• tuero / muzero-cpp
  A C++ pytorch implementation of MuZero
  ☆41Updated 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 2 years ago
• facebookresearch / dcd
  Implementations of robust Dual Curriculum Design (DCD) algorithms for unsupervised environment design.
  ☆137Updated last year
• zdhNarsil / Stochastic-Marginal-Actor-Critic
  Official pytorch implementation for our ICLR 2023 paper "Latent State Marginalization as a Low-cost Approach for Improving Exploration".
  ☆24Updated 2 years ago
• vwxyzjn / gym-microrts-paper
  The source code for the gym-microrts paper.
  ☆43Updated 3 years ago
• joeybose / FloRL
  Implicit Normalizing Flows + Reinforcement Learning
  ☆61Updated 6 years ago
• schmidtdominik / Rainbow
  Rainbow DQN implementation accompanying the paper "Fast and Data-Efficient Training of Rainbow" which reaches 205.7 median HNS after 10M …
  ☆44Updated 4 years ago
• RobertTLange / gymnax-blines
  Baselines for gymnax 🤖
  ☆73Updated 2 years ago
• EmptyJackson / groove
  Official implementation of the NeurIPS 2023 paper "Discovering General Reinforcement Learning Algorithms with Adversarial Environment Des…
  ☆33Updated last year
• 0xangelo / raylab
  Reinforcement learning algorithms in RLlib
  ☆59Updated last year
• philipjball / SAC_PyTorch
  🧶 Minimal PyTorch Soft Actor Critic (SAC) implementation
  ☆38Updated 3 years ago
• xingchenwan / bgpbt
  [AutoML'22] Bayesian Generational Population-based Training (BG-PBT)
  ☆29Updated 3 years ago
• rldotai / rl-algorithms
  Reinforcement learning algorithms
  ☆41Updated 6 years ago
• andyljones / boardlaw
  Scaling scaling laws with board games.
  ☆54Updated 2 years ago
• hr0nix / dejax
  Accelerated replay buffers in JAX
  ☆45Updated 3 years ago