Alternatives and similar repositories for muzero-cpp

Users that are interested in muzero-cpp are comparing it to the libraries listed below

• 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
• kenjyoung / mctx_learning_demo
  ☆52Updated 2 years ago
• RyanNavillus / PPO-v3
  Adding Dreamer-v3's implementation tricks to CleanRL's PPO
  ☆13Updated 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…
  ☆74Updated 2 years ago
• tinker495 / jax-baseline
  Jax-Baseline is a Reinforcement Learning implementation using JAX and Flax/Haiku libraries, mirroring the functionality of Stable-Baselin…
  ☆61Updated 2 months ago
• vwxyzjn / cleanba
  CleanRL's implementation of DeepMind's Podracer Sebulba Architecture for Distributed DRL
  ☆117Updated last year
• xingchenwan / bgpbt
  [AutoML'22] Bayesian Generational Population-based Training (BG-PBT)
  ☆29Updated 3 years ago
• MarcoMeter / neroRL
  Deep Reinforcement Learning Framework done with PyTorch
  ☆40Updated 8 months ago
• instadeepai / fastpbrl
  Vectorization techniques for fast population-based training.
  ☆56Updated 3 years ago
• mjanschek / pytorch_seed_rl
  A PyTorch implementation of SEED, originally created by Google Research for TensorFlow 2.
  ☆14Updated 4 years ago
• rlglab / minizero
  [IEEE ToG] MiniZero: An AlphaZero and MuZero Training Framework
  ☆111Updated 4 months ago
• bwfbowen / muax
  A project that provides help for using DeepMind's mctx on gym-style environments.
  ☆63Updated last year
• hr0nix / dejax
  Accelerated replay buffers in JAX
  ☆45Updated 3 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…
  ☆22Updated 4 years ago
• bmazoure / ppo_jax
  Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights…
  ☆59Updated 3 years ago
• vwxyzjn / a2c_is_a_special_case_of_ppo
  A2C is a special case of PPO!
  ☆22Updated 3 years ago
• RobertTLange / gymnax-blines
  Baselines for gymnax 🤖
  ☆72Updated 2 years ago
• luchris429 / discovered-policy-optimisation
  Code for Discovered Policy Optimisation (NeurIPS 2022)
  ☆12Updated 2 years ago
• entity-neural-network / entity-gym
  Standard interface for entity based reinforcement learning environments.
  ☆38Updated last year
• schmidtdominik / Rainbow
  Rainbow DQN implementation accompanying the paper "Fast and Data-Efficient Training of Rainbow" which reaches 205.7 median HNS after 10M …
  ☆44Updated 3 years ago
• thanhnguyentang / mmdrl
  Official repo for our AAAI'21 paper, https://arxiv.org/abs/2007.12354
  ☆27Updated 4 years ago
• Reytuag / transformerXL_PPO_JAX
  ☆87Updated last year
• lowrollr / turbozero
  fast + parallel AlphaZero in JAX
  ☆106Updated 11 months ago
• BY571 / Munchausen-RL
  PyTorch implementation of the Munchausen Reinforcement Learning Algorithms M-DQN and M-IQN
  ☆45Updated 5 years ago
• subho406 / Recurrent-PPO-Jax
  Implementation of Proximal Policy Optimization in Jax+Flax
  ☆21Updated 2 years ago
• DramaCow / jaxued
  ☆87Updated 2 months ago
• rystrauss / dopamax
  Reinforcement learning in pure JAX.
  ☆13Updated 9 months ago
• 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
• google-research / reincarnating_rl
  [NeurIPS 2022] Open source code for reusing prior computational work in RL.
  ☆98Updated 2 years ago