Alternatives and similar repositories for d5rl:

Users that are interested in d5rl are comparing it to the libraries listed below

• OffDynamicsRL / off-dynamics-rl
  ☆42Updated 4 months ago
• quantumiracle / Consistency_Model_For_Reinforcement_Learning
  Official implementation for: Consistency Models as a Rich and Efficient Policy Class for Reinforcement Learning ICLR'24
  ☆24Updated 6 months ago
• XuGW-Kevin / DrM
  DrM, a visual RL algorithm, minimizes the dormant ratio to guide exploration-exploitation trade-offs, achieving significant improvements …
  ☆70Updated 9 months ago
• thu-ml / SRPO
  Codes accompanying the paper "Score Regularized Policy Optimization through Diffusion Behavior" (ICLR 2024).
  ☆42Updated last year
• srzer / LaMo-2023
  Official code for "Unleashing the Power of Pre-trained Language Models for Offline Reinforcement Learning".
  ☆41Updated 11 months ago
• ryanxhr / IVR
  [ICLR 2023 Oral] The official implementation of SQL and EQL in "Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Reg…
  ☆44Updated last year
• seohongpark / HIQL
  HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)
  ☆78Updated 3 months ago
• Zzl35 / flow-to-better
  ☆20Updated 11 months ago
• RajGhugare19 / stitching-is-combinatorial-generalisation
  [ICLR 2024] Closing the Gap between TD Learning and Supervised Learning - A Generalisation Point of View.
  ☆23Updated 11 months ago
• FangchenLiu / MaskDP_public
  Code for "Masked Autoencoding for Scalable and Generalizable Decision Making". NeurIPS 2022
  ☆43Updated last year
• Lifelong-ML / offline-compositional-rl-datasets
  ☆17Updated last year
• pcchenxi / LAPO-offlienRL
  ☆15Updated last year
• ldcq / ldcq
  ☆30Updated last year
• conglu1997 / v-d4rl
  Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations
  ☆100Updated 9 months ago
• clvrai / skimo
  Skill-based Model-based Reinforcement Learning (CoRL 2022)
  ☆56Updated 2 years ago
• Rooshy-yang / BeCL
  BeCL: Behavior Contrastive Learning for Unsupervised Skill Discovery.
  ☆19Updated last year
• mazpie / mastering-urlb
  [ICML 2023] Pre-train world model-based agents with different unsupervised strategies, fine-tune the agent's components selectively, and …
  ☆37Updated last year
• ZhengYinan-AIR / OMIGA
  [NeurIPS 2023] The official implementation of "Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularizat…
  ☆33Updated last year
• JasonMa2016 / GoFAR
  Official repository for Paper "Offline Goal-Conditioned Reinforcement Learning via f-Advantage Regression" (NeurIPS 2022)
  ☆35Updated last year
• zhaoyi11 / tcrl
  ☆23Updated last year
• haosulab / RPG
  Code base for paper: Reparameterized Policy Learning for Multimodal Trajectory Optimization
  ☆25Updated last year
• steventango / jumpstart-rl
  Implementation of Jump-Start Reinforcement Learning (JSRL) with Stable Baselines3
  ☆31Updated last year
• ethanluoyc / optimal_transport_reward
  ☆14Updated 11 months ago
• YangRui2015 / AWGCSL
  Code for ICLR 2022 paper Rethinking Goal-Conditioned Supervised Learning and Its Connection to Offline RL.
  ☆26Updated 3 years ago
• frankroeder / lanro-gym
  OpenAI gym environments for goal-conditioned and language-conditioned reinforcement learning
  ☆13Updated 3 weeks ago
• Facebear-ljx / RGM
  The official implementation of "Mind the Gap: Offline Policy Optimization for Imperfect Rewards" (ICLR2023)
  ☆16Updated 2 years ago
• ryanxhr / DWBC
  [ICML 2022] The official implementation of DWBC in "Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations"
  ☆34Updated 2 years ago
• seohongpark / CSD-locomotion
  Controllability-Aware Unsupervised Skill Discovery (ICML 2023)
  ☆25Updated last year
• facebookresearch / gen_dgrl
  Official codebase for "The Generalization Gap in Offline Reinforcement Learning" accepted to ICLR 2024
  ☆28Updated 7 months ago
• SafeRL-Lab / Robust-Gymnasium
  🔥 Robust Gymnasium: A Unified Modular Benchmark for Robust Reinforcement Learning.
  ☆33Updated last week