Alternatives and similar repositories for dw-offline-rl

Users that are interested in dw-offline-rl are comparing it to the libraries listed below

• seohongpark / HIQL
  HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)
  ☆93Updated last year
• TakuyaHiraoka / Dropout-Q-Functions-for-Doubly-Efficient-Reinforcement-Learning
  Source files to replicate experiments in my ICLR 2022 paper.
  ☆71Updated 6 months ago
• clvrai / skimo
  Skill-based Model-based Reinforcement Learning (CoRL 2022)
  ☆64Updated 3 years ago
• OffDynamicsRL / off-dynamics-rl
  ☆60Updated last week
• JasonMa2016 / GoFAR
  Official repository for Paper "Offline Goal-Conditioned Reinforcement Learning via f-Advantage Regression" (NeurIPS 2022)
  ☆36Updated 2 years ago
• namsan96 / SiMPL
  ☆48Updated 2 years ago
• denisyarats / exorl
  ExORL: Exploratory Data for Offline Reinforcement Learning
  ☆128Updated 4 years ago
• conglu1997 / v-d4rl
  Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations
  ☆113Updated last year
• Lifelong-ML / CompoSuite
  Official release of CompoSuite, a compositional RL benchmark
  ☆50Updated 2 years ago
• ethanluoyc / optimal_transport_reward
  ☆18Updated last year
• seohongpark / CSD-locomotion
  Controllability-Aware Unsupervised Skill Discovery (ICML 2023)
  ☆28Updated 2 years ago
• seohongpark / CSD-manipulation
  Controllability-Aware Unsupervised Skill Discovery (ICML 2023)
  ☆33Updated 2 years ago
• pcchenxi / LAPO-offlienRL
  ☆15Updated 3 weeks ago
• kngwyu / mujoco-maze
  Simple maze environments using mujoco-py
  ☆58Updated 2 years ago
• shlee94 / Off2OnRL
  ☆60Updated 3 years ago
• YangRui2015 / AWGCSL
  Code for ICLR 2022 paper Rethinking Goal-Conditioned Supervised Learning and Its Connection to Offline RL.
  ☆28Updated 3 years ago
• haosulab / RPG
  Code base for paper: Reparameterized Policy Learning for Multimodal Trajectory Optimization
  ☆27Updated 2 years ago
• elliotchanesane31 / RIS
  ☆56Updated 4 years ago
• architsharma97 / earl_benchmark
  EARL: Environment for Autonomous Reinforcement Learning
  ☆37Updated 3 years ago
• hari-sikchi / AWAC
  Advantage weighted Actor Critic for Offline RL
  ☆52Updated 3 years ago
• seohongpark / LSD
  Lipschitz-constrained Unsupervised Skill Discovery (ICLR 2022)
  ☆38Updated 2 years ago
• d5rlbenchmark / d5rl
  ☆29Updated 2 years ago
• nakamotoo / Cal-QL
  official implementation for our paper Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning (NeurIPS 2023)
  ☆119Updated last year
• rmrafailov / LOMPO
  Official Codebase for Offline Reinforcement Learning from Images with Latent Space Models
  ☆31Updated 4 years ago
• Wenxuan-Zhou / PLAS
  Code for Latent Action Space for Offline Reinforcement Learning [CoRL 2020]
  ☆53Updated 4 years ago
• mazpie / mastering-urlb
  [ICML 2023] Pre-train world model-based agents with different unsupervised strategies, fine-tune the agent's components selectively, and …
  ☆40Updated last year
• younggyoseo / apv
  ☆72Updated 3 years ago
• illidanlab / opolo-code
  ☆32Updated 4 years ago
• CORE-Robotics-Lab / SSRR
  Public implementation of "Learning from Suboptimal Demonstration via Self-Supervised Reward Regression" from CoRL'21
  ☆23Updated 4 years ago
• seohongpark / METRA
  METRA: Scalable Unsupervised RL with Metric-Aware Abstraction (ICLR 2024)
  ☆84Updated 2 years ago