Alternatives and similar repositories for opax

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

• kchua / mbrl-jax
  MBRL library in JAX
  ☆10Updated 2 years ago
• sebascuri / hucrl
  ☆30Updated last year
• info-structures / ais
  This repository contains the code for RL for POMDPs through learning an Approximate Information State.
  ☆21Updated 3 years ago
• EmptyJackson / unifloral
  Unified Implementations of Offline Reinforcement Learning Algorithms
  ☆88Updated 3 months ago
• nissymori / JAX-CORL
  Clean single-file implementation of offline RL algorithms in JAX
  ☆150Updated 7 months ago
• danielpalenicek / value_expansion
  ☆15Updated 2 years ago
• TTomilin / COOM
  COOM: Benchmarking Continual Reinforcement Learning on Doom
  ☆18Updated 5 months ago
• cagatayyildiz / oderl
  Experiment code for "Continuous-Time Model-Based Reinforcement Learning"
  ☆54Updated last year
• pyrddlgym-project / pyRDDLGym
  A toolkit for auto-generation of OpenAI Gym environments from RDDL description files.
  ☆82Updated 3 weeks ago
• natolambert / continuousprediction
  Formulating Model-based RL Dynamics as a continuous rather then one step prediction
  ☆35Updated 2 years ago
• martius-lab / iCEM
  improved Cross Entropy Method for trajectory optimization
  ☆79Updated 3 years ago
• sebascuri / rllib
  ☆19Updated last year
• pairlab / vagram
  [ICLR 22] Value Gradient weighted Model-Based Reinforcement Learning.
  ☆24Updated 2 years ago
• automl / CARL
  Benchmarking RL generalization in an interpretable way.
  ☆159Updated last month
• facebookresearch / svg
  On the model-based stochastic value gradient for continuous reinforcement learning
  ☆56Updated 2 years ago
• dojeon-ai / SimbaV2
  Code for "SimbaV2: Hyperspherical Normalization for Scalable Deep Reinforcement Learning"
  ☆59Updated 2 months ago
• MichalBortkiewicz / JaxGCRL
  Online Goal-Conditioned Reinforcement Learning in JAX. ICLR 2025 Spotlight.
  ☆179Updated 2 months ago
• adityab / CrossQ
  Official code release for "CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity"
  ☆78Updated last year
• yardenas / la-mbda
  LAMBDA is a model-based reinforcement learning agent that uses Bayesian world models for safe policy optimization
  ☆35Updated 2 years ago
• RPegoud / jym
  JAX implementation of RL algorithms and vectorized environments
  ☆47Updated last year
• zaiyan-x / RFQI
  Implementation of Robust Reinforcement Learning using Offline Data [NeurIPS'22]
  ☆24Updated 9 months ago
• chanb / rl_sandbox_public
  PyTorch implementation of (Deep) Reinforcement Learning (RL) algorithms
  ☆24Updated 3 years ago
• nico-bohlinger / RL-X
  A framework for Reinforcement Learning research.
  ☆157Updated last month
• FLAIROx / jaxirl
  Contains JAX implementation of algorithms for inverse reinforcement learning
  ☆73Updated 11 months ago
• ikostrikov / jaxrl2
  ☆47Updated 2 years ago
• keraJLi / rejax
  Hardware-Accelerated Reinforcement Learning Algorithms in pure Jax!
  ☆230Updated 2 months ago
• kngwyu / mujoco-maze
  Simple maze environments using mujoco-py
  ☆57Updated last year
• Wenxuan-Zhou / PLAS
  Code for Latent Action Space for Offline Reinforcement Learning [CoRL 2020]
  ☆53Updated 3 years ago
• oscarkey / constrained-cem-mpc
  An MPC algorithm which supports polytopic state and action constraints, using CEM optimisation.
  ☆16Updated 5 years ago
• liuzuxin / safe-mbrl
  Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method
  ☆66Updated 2 years ago