Alternatives and similar repositories for d4rl-atari:

Users that are interested in d4rl-atari are comparing it to the libraries listed below

• takuseno / d4rl-pybullet
  Datasets for data-driven deep reinforcement learning with PyBullet environments
  ☆147Updated 3 years ago
• toshikwa / rljax
  A collection of RL algorithms written in JAX.
  ☆95Updated 2 years ago
• denisyarats / exorl
  ExORL: Exploratory Data for Offline Reinforcement Learning
  ☆109Updated 3 years ago
• automl / CARL
  Benchmarking RL generalization in an interpretable way.
  ☆142Updated this week
• jurgisp / memory-maze
  Evaluating long-term memory of reinforcement learning algorithms
  ☆140Updated last year
• nissymori / JAX-CORL
  Clean single-file implementation of offline RL algorithms in JAX
  ☆131Updated last month
• danijar / director
  Deep Hierarchical Planning from Pixels
  ☆94Updated 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 2 years ago
• ahmed-touati / controllable_agent
  ☆42Updated last year
• jsikyoon / dreamer-torch
  Pytorch version of Dreamer, which follows the original TF v2 codes.
  ☆121Updated 3 years ago
• tianheyu927 / mopo
  Code for MOPO: Model-based Offline Policy Optimization
  ☆173Updated 2 years ago
• yusukeurakami / dreamer-pytorch
  pytorch-implementation of Dreamer (Model-based Image RL Algorithm)
  ☆165Updated 3 weeks ago
• kzl / lifelong_rl
  Pytorch implementations of RL algorithms, focusing on model-based, lifelong, reset-free, and offline algorithms. Official codebase for Re…
  ☆101Updated 3 years ago
• RajGhugare19 / alm
  Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective
  ☆80Updated last year
• joonleesky / train-procgen-pytorch
  Pytorch implementation on OpenAI's Procgen ppo-baseline, built from scratch.
  ☆31Updated 4 years ago
• dibyaghosh / jaxrl_m
  Skeleton for scalable and flexible Jax RL implementations
  ☆71Updated last year
• kngwyu / mujoco-maze
  Simple maze environments using mujoco-py
  ☆54Updated last year
• mila-iqia / spr
  Code for "Data-Efficient Reinforcement Learning with Self-Predictive Representations"
  ☆158Updated 3 years ago
• facebookresearch / dcd
  Implementations of robust Dual Curriculum Design (DCD) algorithms for unsupervised environment design.
  ☆128Updated 5 months ago
• Farama-Foundation / D4RL-Evaluations
  ☆191Updated last year
• nakamotoo / Cal-QL
  official implementation for our paper Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning
  ☆84Updated 6 months ago
• denisyarats / dmc2gym
  OpenAI Gym wrapper for the DeepMind Control Suite
  ☆210Updated 8 months ago
• samlobel / CFN
  Accompanying Code for "Flipping Coins to Estimate Pseudocounts for Exploration in Reinforcement Learning", ICML 2023
  ☆19Updated last year
• young-geng / JaxCQL
  Conservative Q learning in Jax
  ☆52Updated 2 years ago
• ezliu / dream
  Decoupled Reward-free ExplorAtion and Execution for Meta-reinforcement learning
  ☆90Updated 2 years ago
• spitis / mrl
  ☆110Updated last year
• bmazoure / ppo_jax
  Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights…
  ☆53Updated 2 years ago
• conglu1997 / v-d4rl
  Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations
  ☆98Updated 8 months ago
• rll-research / cic
  CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery
  ☆80Updated 2 years ago
• vwxyzjn / cleanba
  CleanRL's implementation of DeepMind's Podracer Sebulba Architecture for Distributed DRL
  ☆109Updated 5 months ago