Alternatives and similar repositories for rl_with_jax

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

• evgenii-nikishin / rl_with_resets
  JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"
  ☆100Updated 3 years ago
• martius-lab / pink-noise-rl
  ☆44Updated 2 years ago
• automl / CARL
  Benchmarking RL generalization in an interpretable way.
  ☆161Updated 3 months ago
• tedmoskovitz / TOP
  Implementation of Tactical Optimistic and Pessimistic value estimation
  ☆25Updated 2 years ago
• YYCAAA / V-MPO_Lunarlander
  Simple implementation of V-MPO proposed in https://arxiv.org/abs/1909.12238
  ☆48Updated 4 years ago
• ikostrikov / jaxrl2
  ☆46Updated 2 years ago
• yifan12wu / rl-laplacian
  Learning Laplacian Representations in Reinforcement Learning
  ☆17Updated 4 years ago
• luchris429 / model-free-opponent-shaping
  Code for Model-Free Opponent Shaping (ICML 2022)
  ☆19Updated 2 years ago
• daisatojp / mpo
  PyTorch Implementation of the Maximum a Posteriori Policy Optimisation
  ☆76Updated 2 years ago
• nuria95 / O-RAAC
  Offline Risk-Averse Actor-Critic (O-RAAC). A model-free RL algorithm for risk-averse RL in a fully offline setting
  ☆35Updated 4 years ago
• LAMDA-RL / OfflineRL-Lib
  Benchmarked implementations of Offline RL Algorithms.
  ☆75Updated 6 months ago
• thu-rllab / CFCQL
  Code for NeurIPS2023 accepted paper: Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning.
  ☆37Updated 7 months ago
• kngwyu / mujoco-maze
  Simple maze environments using mujoco-py
  ☆56Updated last year
• dibyaghosh / jaxrl_m
  Skeleton for scalable and flexible Jax RL implementations
  ☆86Updated 2 years ago
• yardenas / la-mbda
  LAMBDA is a model-based reinforcement learning agent that uses Bayesian world models for safe policy optimization
  ☆35Updated 2 years ago
• QData / dmc_remastered
  A version of the DeepMind Control Suite with randomly generated graphics, for measuring visual generalization in continuous control.
  ☆18Updated 4 years ago
• aluscher / torchbeastpopart
  Deep Learning Project
  ☆22Updated 5 years ago
• fuyw / RepL4RL
  Representation Learning for RL
  ☆126Updated 2 years ago
• cassidylaidlaw / effective-horizon
  Code and data for the paper "Bridging RL Theory and Practice with the Effective Horizon"
  ☆48Updated last year
• uoe-agents / smaclite
  The Starcraft Multi-Agent challenge lite
  ☆40Updated last year
• adityab / CrossQ
  Official code release for "CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity"
  ☆79Updated last year
• samlobel / CFN
  Accompanying Code for "Flipping Coins to Estimate Pseudocounts for Exploration in Reinforcement Learning", ICML 2023
  ☆21Updated last year
• liuzuxin / safe-mbrl
  Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method
  ☆66Updated 2 years ago
• denisyarats / exorl
  ExORL: Exploratory Data for Offline Reinforcement Learning
  ☆115Updated 3 years ago
• twni2016 / Memory-RL
  When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)
  ☆65Updated last year
• ini / multigrid
  Fast and flexible multi-agent gridworld reinforcement learning environments.
  ☆44Updated 5 months ago
• jesbu1 / hidio
  Github repo for HIDIO: Hierarchical Reinforcement Learning by Discovering Intrinsic Options
  ☆46Updated 3 years ago
• moratodpg / imp_marl
  IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARL
  ☆43Updated this week
• cross32768 / PlaNet_PyTorch
  Unofficial re-implementation of "Learning Latent Dynamics for Planning from Pixels" (https://arxiv.org/abs/1811.04551 ) with PyTorch
  ☆47Updated 5 years ago
• tianheyu927 / mopo
  Code for MOPO: Model-based Offline Policy Optimization
  ☆188Updated 3 years ago