Alternatives and similar repositories for CARL

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

• proroklab / popgym
  Partially Observable Process Gym
  ☆202Updated 4 months ago
• jurgisp / memory-maze
  Evaluating long-term memory of reinforcement learning algorithms
  ☆149Updated 2 years ago
• takuseno / d4rl-atari
  Datasets for data-driven deep reinforcement learning with Atari (wrapper for datasets released by Google)
  ☆125Updated last year
• danijar / director
  Deep Hierarchical Planning from Pixels
  ☆109Updated 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"
  ☆102Updated 3 years ago
• denisyarats / dmc2gym
  OpenAI Gym wrapper for the DeepMind Control Suite
  ☆222Updated last year
• mttga / purejaxql
  Simple single-file baselines for Q-Learning in pure-GPU setting
  ☆186Updated 7 months ago
• kngwyu / mujoco-maze
  Simple maze environments using mujoco-py
  ☆56Updated last year
• nissymori / JAX-CORL
  Clean single-file implementation of offline RL algorithms in JAX
  ☆158Updated 10 months ago
• MarcoMeter / endless-memory-gym
  Challenging Memory-based Deep Reinforcement Learning Agents
  ☆103Updated 11 months ago
• lmzintgraf / varibad
  Implementation of VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning - Zintgraf et al. (ICLR 2020)
  ☆196Updated 2 years ago
• fuyw / RepL4RL
  Representation Learning for RL
  ☆127Updated 2 years ago
• denisyarats / exorl
  ExORL: Exploratory Data for Offline Reinforcement Learning
  ☆116Updated 3 years ago
• rll-research / url_benchmark
  ☆354Updated 3 years ago
• openrlbenchmark / openrlbenchmark
  ☆239Updated 11 months ago
• cassidylaidlaw / effective-horizon
  Code and data for the paper "Bridging RL Theory and Practice with the Effective Horizon"
  ☆50Updated last year
• Farama-Foundation / D4RL-Evaluations
  ☆201Updated 2 years ago
• tianheyu927 / mopo
  Code for MOPO: Model-based Offline Policy Optimization
  ☆188Updated 3 years ago
• MichalBortkiewicz / JaxGCRL
  Online Goal-Conditioned Reinforcement Learning in JAX. ICLR 2025 Spotlight.
  ☆190Updated 2 weeks ago
• juliusfrost / dreamer-pytorch
  Dream to Control: Learning Behaviors by Latent Imagination, implemented in PyTorch.
  ☆313Updated last year
• yusukeurakami / dreamer-pytorch
  pytorch-implementation of Dreamer (Model-based Image RL Algorithm)
  ☆166Updated 9 months ago
• ahmed-touati / controllable_agent
  ☆48Updated 2 years ago
• sfujim / TD7
  Author's PyTorch implementation of TD7 for online and offline RL
  ☆150Updated 2 years ago
• samlobel / CFN
  Accompanying Code for "Flipping Coins to Estimate Pseudocounts for Exploration in Reinforcement Learning", ICML 2023
  ☆21Updated last year
• jurgisp / pydreamer
  PyTorch implementation of DreamerV2 model-based RL algorithm
  ☆229Updated 2 years ago
• jsikyoon / dreamer-torch
  Pytorch version of Dreamer, which follows the original TF v2 codes.
  ☆131Updated 3 years ago
• adityab / CrossQ
  Official code release for "CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity"
  ☆79Updated last year
• martius-lab / pink-noise-rl
  ☆45Updated 2 years ago
• twni2016 / pomdp-baselines
  Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022
  ☆335Updated last year
• young-geng / JaxCQL
  Conservative Q learning in Jax
  ☆55Updated 2 years ago