Alternatives and similar repositories for Safe-offline-RL-with-diffusion-model

Users that are interested in Safe-offline-RL-with-diffusion-model are comparing it to the libraries listed below

• ZhengYinan-AIR / OMIGA
  [NeurIPS 2023] The official implementation of "Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularizat…
  ☆36Updated last year
• charleshsc / QT
  ICML'2024: Q-value Regularized Transformer for Offline Reinforcement Learning
  ☆27Updated 5 months ago
• YangRui2015 / RIQL
  Code for ICLR 2024 paper "Towards Robust Offline Reinforcement Learning under Diverse Data Corruption"
  ☆17Updated 6 months ago
• ZhengYinan-AIR / FISOR
  [ICLR 2024] The official implementation of "Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model"
  ☆101Updated 3 months ago
• SvenGronauer / RL-Safety-Algorithms
  Implementations of safe reinforcement learning algorithms
  ☆27Updated last year
• NJU-RL / Meta-DT
  ☆42Updated 7 months ago
• NJU-RL / CuGRO
  ☆30Updated last year
• Zzl35 / flow-to-better
  ☆23Updated last year
• dmksjfl / MCQ
  Code for Mildly Conservative Q-learning for Offline Reinforcement Learning (NeurIPS 2022)
  ☆56Updated last year
• yihaosun1124 / mobile
  Code for MOBILE: Model-Bellman Inconsistency Penalized Offline Policy Optimization
  ☆18Updated last year
• danielshin1 / oprl
  Official Codebase for TMLR 2023, Benchmarks and Algorithms for Offline Preference-Based Reward Learning
  ☆20Updated 2 years ago
• Dragon-Zhuang / BPPO
  Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).
  ☆87Updated last year
• bitzhangcy / Safe-Deep-Reinforcement-Learning
  ☆48Updated this week
• srzer / LaMo-2023
  Official code for "Unleashing the Power of Pre-trained Language Models for Offline Reinforcement Learning".
  ☆47Updated last year
• ZifanWu / CAL
  Code accompanying the paper "Off-Policy Primal-Dual Safe Reinforcement Learning"
  ☆17Updated last year
• chwoong / LiRE
  Listwise Reward Estimation for Offline Preference-based Reinforcement Learning (ICML 2024)
  ☆14Updated 11 months 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
• PKU-RL / CORRO
  CORRO code
  ☆35Updated 2 years ago
• liyc-ai / RL-pytorch
  A beginner-friendly repository on Deep Reinforcement Learning (RL), written in PyTorch.
  ☆26Updated 2 months ago
• ldcq / ldcq
  ☆33Updated 2 years ago
• xihuai18 / A2PO-ICLR2023
  Codebase for [Order Matters: Agent-by-agent Policy Optimization](https://openreview.net/forum?id=Q-neeWNVv1)
  ☆29Updated 5 months ago
• junming-yang / mopo
  Model-based Offline Policy Optimization re-implement all by pytorch
  ☆31Updated last year
• Haichao-Zhang / PEX
  Policy Expansion for Bridging Offline-to-Online Reinforcement Learning (ICLR23)
  ☆56Updated 2 years ago
• liuzuxin / DSRL
  🔥 Datasets and env wrappers for offline safe reinforcement learning
  ☆95Updated 8 months ago
• tinnerhrhe / MTDiff
  ☆61Updated 6 months ago
• ltlhuuu / A2PR
  [ICML 2024] The offical implementation of A2PR, a simple way to achieve SOTA in offline reinforcement learning with an adaptive advantage…
  ☆26Updated last year
• baitingzbt / PEDA
  Scaling Pareto-Efficient Decision Making via Offline Multi-Objective RL, published in ICLR 2023
  ☆31Updated 5 months ago
• LAMDA-RL / OfflineRL-Lib
  Benchmarked implementations of Offline RL Algorithms.
  ☆73Updated 3 months ago
• AhmedMagdyHendawy / MOORE
  Official code of the paper "Multi-Task Reinforcement Learning with Mixture of Orthogonal Experts" at ICLR2024
  ☆19Updated 6 months ago
• NJU-RL / ACORM
  [ICLR 2024] Official Implementation of ACORM
  ☆48Updated last year