Alternatives and similar repositories for MOReL

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

• tianheyu927 / mopo
  Code for MOPO: Model-based Offline Policy Optimization
  ☆188Updated 3 years ago
• sparkmxy / my-offlinerl
  ☆24Updated 3 years ago
• snu-mllab / EDAC
  Official PyTorch implementation of "Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble" (NeurIPS'21)
  ☆76Updated 3 years ago
• shlee94 / Off2OnRL
  ☆57Updated 2 years ago
• rraileanu / idaac
  ☆54Updated last year
• davidbrandfonbrener / onestep-rl
  ☆43Updated 3 years ago
• Farama-Foundation / D4RL-Evaluations
  ☆201Updated 2 years ago
• DesikRengarajan / LOGO
  [ICLR 2022 Spotlight] Code for Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration
  ☆28Updated 3 years ago
• denisyarats / exorl
  ExORL: Exploratory Data for Offline Reinforcement Learning
  ☆115Updated 3 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 3 years ago
• LAMDA-RL / OfflineRL-Lib
  Benchmarked implementations of Offline RL Algorithms.
  ☆75Updated 6 months ago
• watchernyu / REDQ
  Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.
  ☆172Updated 10 months ago
• frt03 / generalized_dt
  Generalized Decision Transformer for Offline Hindsight Information Matching (ICLR2022)
  ☆67Updated 3 years ago
• facebookresearch / deep_bisim4control
  Learning Invariant Representations for Reinforcement Learning without Reconstruction
  ☆150Updated 4 years ago
• spitis / mrl
  ☆114Updated 2 years ago
• LanqingLi1993 / FOCAL-ICLR
  Code for FOCAL Paper Published at ICLR 2021
  ☆51Updated last year
• marc-rigter / rambo
  Official code for "RAMBO: Robust Adversarial Model-Based Offline RL", NeurIPS 2022
  ☆30Updated 2 years ago
• microsoft / ATAC
  Code accompanying the paper Adversarially Trained Actor Critic for Offline Reinforcement Learning by Ching-An Cheng*, Tengyang Xie*, Nan …
  ☆71Updated 2 years ago
• facebookresearch / level-replay
  This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …
  ☆89Updated 4 years ago
• ryanxhr / POR
  [NeurIPS 2022 Oral] The official implementation of POR in "A Policy-Guided Imitation Approach for Offline Reinforcement Learning"
  ☆57Updated 2 years ago
• danielshin1 / oprl
  Official Codebase for TMLR 2023, Benchmarks and Algorithms for Offline Preference-Based Reward Learning
  ☆20Updated 2 years ago
• aviralkumar2907 / BEAR
  Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction
  ☆161Updated 5 years ago
• yihaosun1124 / mobile
  Code for MOBILE: Model-Bellman Inconsistency Penalized Offline Policy Optimization
  ☆22Updated last year
• polixir / NeoRL
  Python interface for accessing the near real-world offline reinforcement learning (NeoRL) benchmark datasets
  ☆124Updated 9 months ago
• Baichenjia / PBRL
  Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning
  ☆28Updated 3 years ago
• mengf1 / CHER
  Curriculum-guided Hindsight Experience Replay (NeurIPS-2019)
  ☆65Updated 5 years ago
• hwang-ua / inac_pytorch
  ☆19Updated 2 years ago
• apexrl / Batch-Offline--RL-Paper-Lists
  Paper Collection for Batch RL with brief introductions.
  ☆84Updated 3 years ago
• young-geng / CQL
  Conservative Q Learning on top of SAC
  ☆132Updated 2 years ago
• yifan12wu / rl-laplacian
  Learning Laplacian Representations in Reinforcement Learning
  ☆17Updated 4 years ago