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
  ☆190Updated 3 years ago
• LAMDA-RL / OfflineRL-Lib
  Benchmarked implementations of Offline RL Algorithms.
  ☆76Updated 9 months ago
• sparkmxy / my-offlinerl
  ☆26Updated 3 years ago
• snu-mllab / EDAC
  Official PyTorch implementation of "Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble" (NeurIPS'21)
  ☆79Updated 3 years ago
• watchernyu / REDQ
  Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.
  ☆176Updated last year
• rraileanu / idaac
  ☆54Updated last year
• shlee94 / Off2OnRL
  ☆58Updated 2 years ago
• Farama-Foundation / D4RL-Evaluations
  ☆201Updated 2 years ago
• denisyarats / exorl
  ExORL: Exploratory Data for Offline Reinforcement Learning
  ☆120Updated 3 years ago
• davidbrandfonbrener / onestep-rl
  ☆44Updated 4 years ago
• frt03 / generalized_dt
  Generalized Decision Transformer for Offline Hindsight Information Matching (ICLR2022)
  ☆69Updated 3 years ago
• JasonMa2016 / CODAC
  Official repository for paper "Conservative Offline Distributional Reinforcement Learning" (NeurIPS 2021)
  ☆23Updated 4 years ago
• facebookresearch / deep_bisim4control
  Learning Invariant Representations for Reinforcement Learning without Reconstruction
  ☆155Updated 4 years ago
• danielshin1 / oprl
  Official Codebase for TMLR 2023, Benchmarks and Algorithms for Offline Preference-Based Reward Learning
  ☆20Updated 2 years ago
• marc-rigter / rambo
  Official code for "RAMBO: Robust Adversarial Model-Based Offline RL", NeurIPS 2022
  ☆32Updated 2 years ago
• young-geng / CQL
  Conservative Q Learning on top of SAC
  ☆132Updated 3 years ago
• tedmoskovitz / TOP
  Implementation of Tactical Optimistic and Pessimistic value estimation
  ☆25Updated 2 years ago
• Xingyu-Lin / mbpo_pytorch
  A pytorch reprelication of the model-based reinforcement learning algorithm MBPO
  ☆182Updated 3 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
• lanyavik / BAIL
  ☆18Updated 3 years ago
• DesikRengarajan / LOGO
  [ICLR 2022 Spotlight] Code for Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration
  ☆28Updated 3 years ago
• LanqingLi1993 / FOCAL-ICLR
  Code for FOCAL Paper Published at ICLR 2021
  ☆53Updated 2 years ago
• twni2016 / Memory-RL
  When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)
  ☆68Updated last year
• microsoft / ATAC
  Code accompanying the paper Adversarially Trained Actor Critic for Offline Reinforcement Learning by Ching-An Cheng*, Tengyang Xie*, Nan …
  ☆72Updated 2 years ago
• daniellawson9999 / online-decision-transformer
  An unofficial implementation for online decision transformer
  ☆41Updated 3 years ago
• facebookresearch / level-replay
  This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …
  ☆92Updated 4 years ago
• spitis / mrl
  ☆114Updated 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"
  ☆103Updated 3 years ago
• eugenevinitsky / robust_RL_multi_adversary
  We investigate the effect of populations on finding good solutions to the robust MDP
  ☆28Updated 4 years ago
• polixir / NeoRL
  Python interface for accessing the near real-world offline reinforcement learning (NeoRL) benchmark datasets
  ☆130Updated last year