Alternatives and similar repositories for oprl

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

• PKU-RL / CORRO
  CORRO code
  ☆35Updated 2 years ago
• Baichenjia / PBRL
  Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning
  ☆28Updated 3 years ago
• yihaosun1124 / mobile
  Code for MOBILE: Model-Bellman Inconsistency Penalized Offline Policy Optimization
  ☆18Updated last year
• ryanxhr / DWBC
  [ICML 2022] The official implementation of DWBC in "Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations"
  ☆34Updated 2 years ago
• LAMDA-RL / PRDC
  Author's PyTorch implementation of ICML'23 paper "Policy Regularization with Dataset Constraint for Offline Reinforcement Learning" for D…
  ☆18Updated 6 months ago
• LanqingLi1993 / FOCAL-ICLR
  Code for FOCAL Paper Published at ICLR 2021
  ☆52Updated last year
• shlee94 / Off2OnRL
  ☆56Updated 2 years ago
• YangRui2015 / RORL
  Code for NeurIPS 2022 paper "Robust offline Reinforcement Learning via Conservative Smoothing"
  ☆19Updated 2 years ago
• namsan96 / SiMPL
  ☆48Updated last year
• OffDynamicsRL / off-dynamics-rl
  ☆47Updated 6 months ago
• marc-rigter / rambo
  Official code for "RAMBO: Robust Adversarial Model-Based Offline RL", NeurIPS 2022
  ☆27Updated 2 years ago
• pcchenxi / LAPO-offlienRL
  ☆15Updated 2 years ago
• xionghuichen / MAPLE
  The Official Code for Offline Model-based Adaptable Policy Learning (NeurIPS'21 & TPAMI)
  ☆25Updated last year
• Lifelong-ML / offline-compositional-rl-datasets
  ☆16Updated last year
• baitingzbt / PEDA
  Scaling Pareto-Efficient Decision Making via Offline Multi-Objective RL, published in ICLR 2023
  ☆31Updated 5 months ago
• rraileanu / idaac
  ☆53Updated last year
• snu-mllab / EDAC
  Official PyTorch implementation of "Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble" (NeurIPS'21)
  ☆76Updated 2 years ago
• ZhengYinan-AIR / OMIGA
  [NeurIPS 2023] The official implementation of "Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularizat…
  ☆36Updated last year
• SwapnilPande / MOReL
  Model-Based Offline Reinforcement Learning
  ☆50Updated 4 years ago
• shidilrzf / Anti-exploration-RL
  Anti exploration in offline reinforcement learning
  ☆9Updated 4 years ago
• lafmdp / HIDIL
  [NeurIPS'20] Code for the paper "Offline Imitation Learning with a Misspecified Simulator"
  ☆12Updated 3 years ago
• dmksjfl / MCQ
  Code for Mildly Conservative Q-learning for Offline Reinforcement Learning (NeurIPS 2022)
  ☆56Updated last year
• ldcq / ldcq
  ☆33Updated 2 years ago
• davidbrandfonbrener / onestep-rl
  ☆42Updated 3 years ago
• secury / optidice
  OptiDICE: Offline Policy Optimization via Stationary Distribution Correction Estimation
  ☆15Updated last year
• mantle2048 / rlplot
  rlplot is an easy to use and highly encapsulated RL plot library (including basic error bar lineplot and a wrapper to "rliable").
  ☆33Updated last year
• ruizhaogit / maximum_entropy_population_based_training
  Maximum Entropy Population Based Training for Zero-Shot Human-AI Coordination
  ☆28Updated 2 years ago
• Facebear-ljx / RGM
  The official implementation of "Mind the Gap: Offline Policy Optimization for Imperfect Rewards" (ICLR2023)
  ☆16Updated 2 years ago
• jhejna / inverse-preference-learning
  ☆40Updated 2 years ago
• Haichao-Zhang / PEX
  Policy Expansion for Bridging Offline-to-Online Reinforcement Learning (ICLR23)
  ☆56Updated 2 years ago