Alternatives and similar repositories for CARL:

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

• nissymori / JAX-CORL
  Clean single-file implementation of offline RL algorithms in JAX
  ☆141Updated 3 months ago
• jurgisp / memory-maze
  Evaluating long-term memory of reinforcement learning algorithms
  ☆141Updated last year
• toshikwa / rljax
  A collection of RL algorithms written in JAX.
  ☆97Updated 2 years ago
• proroklab / popgym
  Partially Observable Process Gym
  ☆186Updated 9 months ago
• RobertTLange / gymnax-blines
  Baselines for gymnax 🤖
  ☆66Updated 2 years ago
• evgenii-nikishin / rl_with_resets
  JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"
  ☆100Updated 2 years ago
• kngwyu / mujoco-maze
  Simple maze environments using mujoco-py
  ☆54Updated last year
• danijar / director
  Deep Hierarchical Planning from Pixels
  ☆95Updated 2 years ago
• MichalBortkiewicz / JaxGCRL
  Goal-Conditioned Reinforcement Learning with JAX
  ☆142Updated 3 weeks ago
• denisyarats / exorl
  ExORL: Exploratory Data for Offline Reinforcement Learning
  ☆111Updated 3 years ago
• adityab / CrossQ
  Official code release for "CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity"
  ☆69Updated 10 months ago
• denisyarats / dmc2gym
  OpenAI Gym wrapper for the DeepMind Control Suite
  ☆214Updated 11 months ago
• MarcoMeter / endless-memory-gym
  Challenging Memory-based Deep Reinforcement Learning Agents
  ☆97Updated 5 months ago
• dibyaghosh / jaxrl_m
  Skeleton for scalable and flexible Jax RL implementations
  ☆80Updated last year
• ikostrikov / jaxrl2
  ☆47Updated 2 years ago
• mttga / purejaxql
  Simple single-file baselines for Q-Learning in pure-GPU setting
  ☆153Updated last month
• facebookresearch / svg
  On the model-based stochastic value gradient for continuous reinforcement learning
  ☆55Updated last year
• instadeepai / og-marl
  Datasets with baselines for offline multi-agent reinforcement learning.
  ☆162Updated last week
• RajGhugare19 / alm
  Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective
  ☆80Updated 2 years ago
• fuyw / RepL4RL
  Representation Learning for RL
  ☆123Updated 2 years ago
• yusukeurakami / dreamer-pytorch
  pytorch-implementation of Dreamer (Model-based Image RL Algorithm)
  ☆166Updated 3 months ago
• facebookresearch / dcd
  Implementations of robust Dual Curriculum Design (DCD) algorithms for unsupervised environment design.
  ☆130Updated 7 months ago
• openrlbenchmark / openrlbenchmark
  ☆223Updated 5 months ago
• ahmed-touati / controllable_agent
  ☆44Updated last year
• tianheyu927 / mopo
  Code for MOPO: Model-based Offline Policy Optimization
  ☆177Updated 2 years ago
• Farama-Foundation / Shimmy
  An API conversion tool for popular external reinforcement learning environments
  ☆160Updated 3 months ago
• instadeepai / marl-eval
  A tool for aggregating and plotting MARL experiment data.
  ☆77Updated 2 months ago
• cassidylaidlaw / effective-horizon
  Code and data for the paper "Bridging RL Theory and Practice with the Effective Horizon"
  ☆47Updated 9 months ago
• takuseno / d4rl-atari
  Datasets for data-driven deep reinforcement learning with Atari (wrapper for datasets released by Google)
  ☆118Updated 7 months ago
• moratodpg / imp_marl
  IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARL
  ☆41Updated 7 months ago