Alternatives and similar repositories for opax:

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

• sebascuri / hucrl
  ☆30Updated last year
• info-structures / ais
  This repository contains the code for RL for POMDPs through learning an Approximate Information State.
  ☆20Updated 3 years ago
• kchua / mbrl-jax
  MBRL library in JAX
  ☆10Updated 2 years ago
• cagatayyildiz / oderl
  Experiment code for "Continuous-Time Model-Based Reinforcement Learning"
  ☆50Updated last year
• natolambert / continuousprediction
  Formulating Model-based RL Dynamics as a continuous rather then one step prediction
  ☆35Updated 2 years ago
• dibyaghosh / jaxrl_m
  Skeleton for scalable and flexible Jax RL implementations
  ☆73Updated last year
• zaiyan-x / RFQI
  Implementation of Robust Reinforcement Learning using Offline Data [NeurIPS'22]
  ☆23Updated 3 months ago
• martius-lab / iCEM
  improved Cross Entropy Method for trajectory optimization
  ☆73Updated 3 years ago
• danielpalen / value_expansion
  ☆15Updated last year
• facebookresearch / svg
  On the model-based stochastic value gradient for continuous reinforcement learning
  ☆55Updated last year
• yardenas / la-mbda
  LAMBDA is a model-based reinforcement learning agent that uses Bayesian world models for safe policy optimization
  ☆34Updated 2 years ago
• pairlab / vagram
  [ICLR 22] Value Gradient weighted Model-Based Reinforcement Learning.
  ☆24Updated last year
• moratodpg / imp_marl
  IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARL
  ☆37Updated 5 months ago
• fusion-ml / OCBO
  Offline Contextual Bayesian Optimization
  ☆14Updated last year
• ikostrikov / jaxrl2
  ☆48Updated 2 years ago
• oscarkey / constrained-cem-mpc
  An MPC algorithm which supports polytopic state and action constraints, using CEM optimisation.
  ☆14Updated 5 years ago
• adityab / CrossQ
  Official code release for "CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity"
  ☆66Updated 9 months ago
• RajGhugare19 / alm
  Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective
  ☆79Updated last year
• nico-bohlinger / RL-X
  A framework for Reinforcement Learning research.
  ☆137Updated last month
• tseyde / decqn
  ☆35Updated 2 years ago
• automl / CARL
  Benchmarking RL generalization in an interpretable way.
  ☆144Updated 3 weeks ago
• jaztsong / PILCO-gpytorch
  ☆34Updated 5 years ago
• nissymori / JAX-CORL
  Clean single-file implementation of offline RL algorithms in JAX
  ☆134Updated 2 months ago
• kngwyu / mujoco-maze
  Simple maze environments using mujoco-py
  ☆54Updated last year
• FLAIROx / jaxirl
  Contains JAX implementation of algorithms for inverse reinforcement learning
  ☆69Updated 6 months ago
• nikihowe / myriad
  Myriad is a real-world testbed that aims to bridge trajectory optimization and deep learning.
  ☆67Updated last year
• locuslab / stable_dynamics
  Companion code to "Learning Stable Deep Dynamics Models" (Manek and Kolter, 2019)
  ☆32Updated 5 years ago
• sebascuri / rllib
  ☆19Updated last year
• ajthor / socks
  Stochastic Optimal Control and Reachability Toolbox Written in Python
  ☆13Updated last year
• MichalBortkiewicz / JaxGCRL
  Goal-Conditioned Reinforcement Learning with JAX
  ☆123Updated this week