Alternatives and similar repositories for R-NaD

Users that are interested in R-NaD are comparing it to the libraries listed below

• bwfbowen / muax
  A project that provides help for using DeepMind's mctx on gym-style environments.
  ☆63Updated 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…
  ☆74Updated 2 years ago
• Reytuag / transformerXL_PPO_JAX
  ☆87Updated last year
• MarcoMeter / endless-memory-gym
  Challenging Memory-based Deep Reinforcement Learning Agents
  ☆104Updated last year
• Farama-Foundation / MicroRTS-Py
  A simple and highly efficient RTS-game-inspired environment for reinforcement learning (formerly Gym-MicroRTS)
  ☆271Updated 3 months ago
• kc-ml2 / SimpleDreamer
  A Simplified Pytorch Version of the Dreamer Algorithm
  ☆141Updated 2 years ago
• mttga / purejaxql
  Simple single-file baselines for Q-Learning in pure-GPU setting
  ☆212Updated last week
• proroklab / popgym
  Partially Observable Process Gym
  ☆206Updated 5 months ago
• openrlbenchmark / openrlbenchmark
  ☆241Updated last year
• Carbon225 / mctx-classic
  Classic MCTS example with mctx
  ☆22Updated 2 years ago
• juliusfrost / dreamer-pytorch
  Dream to Control: Learning Behaviors by Latent Imagination, implemented in PyTorch.
  ☆317Updated last year
• MarcoMeter / episodic-transformer-memory-ppo
  Clean baseline implementation of PPO using an episodic TransformerXL memory
  ☆195Updated last year
• 0xprofessooor / Pearl
  Adaptable tools to make reinforcement learning and evolutionary computation algorithms.
  ☆56Updated 3 years ago
• araffin / sbx
  SBX: Stable Baselines Jax (SB3 + Jax) RL algorithms
  ☆525Updated last month
• vwxyzjn / cleanba
  CleanRL's implementation of DeepMind's Podracer Sebulba Architecture for Distributed DRL
  ☆117Updated last year
• keraJLi / rejax
  Hardware-Accelerated Reinforcement Learning Algorithms in pure Jax!
  ☆244Updated 3 weeks ago
• nissymori / JAX-CORL
  Clean single-file implementation of offline RL algorithms in JAX
  ☆160Updated 10 months 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…
  ☆119Updated last year
• automl / CARL
  Benchmarking RL generalization in an interpretable way.
  ☆170Updated this week
• tinker495 / jax-baseline
  Jax-Baseline is a Reinforcement Learning implementation using JAX and Flax/Haiku libraries, mirroring the functionality of Stable-Baselin…
  ☆61Updated last month
• adityabingi / Dreamer
  Reproduction of Dreamerv1 and v2 in pytorch for deepmind control suite
  ☆44Updated 2 years ago
• instadeepai / flashbax
  ⚡ Flashbax: Accelerated Replay Buffers in JAX
  ☆259Updated 2 months ago
• jurgisp / pydreamer
  PyTorch implementation of DreamerV2 model-based RL algorithm
  ☆233Updated 2 years ago
• kaesve / muzero
  A clean implementation of MuZero and AlphaZero following the AlphaZero General framework. Train and Pit both algorithms against each othe…
  ☆165Updated 4 years ago
• AlexGoldie / rl-learned-optimization
  Official Implementation of "Can Learned Optimization Make Reinforcement Learning Less Difficult"
  ☆28Updated 6 months ago
• toshikwa / rljax
  A collection of RL algorithms written in JAX.
  ☆104Updated 3 years ago
• daisatojp / mpo
  PyTorch Implementation of the Maximum a Posteriori Policy Optimisation
  ☆78Updated 3 years ago
• DramaCow / jaxued
  ☆87Updated 2 months ago
• Farama-Foundation / Shimmy
  An API conversion tool for popular external reinforcement learning environments
  ☆192Updated 3 weeks ago
• MichaelTMatthews / Craftax
  (Crafter + NetHack) in JAX. ICML 2024 Spotlight.
  ☆350Updated 4 months ago