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

• YangRui2015 / RIQL
  Code for ICLR 2024 paper "Towards Robust Offline Reinforcement Learning under Diverse Data Corruption"
  ☆17Updated 5 months ago
• ZhengYinan-AIR / OMIGA
  [NeurIPS 2023] The official implementation of "Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularizat…
  ☆34Updated last year
• ZhengYinan-AIR / FISOR
  [ICLR 2024] The official implementation of "Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model"
  ☆98Updated 3 months ago
• Zzl35 / flow-to-better
  ☆23Updated last year
• SvenGronauer / RL-Safety-Algorithms
  Implementations of safe reinforcement learning algorithms
  ☆27Updated last year
• charleshsc / QT
  ICML'2024: Q-value Regularized Transformer for Offline Reinforcement Learning
  ☆26Updated 4 months ago
• bitzhangcy / Safe-Deep-Reinforcement-Learning
  ☆46Updated 3 weeks ago
• Dragon-Zhuang / BPPO
  Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).
  ☆86Updated last year
• liuzuxin / DSRL
  🔥 Datasets and env wrappers for offline safe reinforcement learning
  ☆91Updated 8 months ago
• liyc-ai / RL-pytorch
  A beginner-friendly repository on Deep Reinforcement Learning (RL), written in PyTorch.
  ☆26Updated last month
• ldcq / ldcq
  ☆31Updated last year
• srzer / LaMo-2023
  Official code for "Unleashing the Power of Pre-trained Language Models for Offline Reinforcement Learning".
  ☆47Updated last year
• tinnerhrhe / MTDiff
  ☆61Updated 6 months ago
• thu-rllab / CFCQL
  Code for NeurIPS2023 accepted paper: Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning.
  ☆36Updated 2 months ago
• ling-pan / OMAR
  ☆46Updated 2 years ago
• danielshin1 / oprl
  Official Codebase for TMLR 2023, Benchmarks and Algorithms for Offline Preference-Based Reward Learning
  ☆20Updated 2 years ago
• Haichao-Zhang / PEX
  Policy Expansion for Bridging Offline-to-Online Reinforcement Learning (ICLR23)
  ☆54Updated 2 years ago
• NJU-RL / CuGRO
  ☆11Updated last year
• baitingzbt / PEDA
  Scaling Pareto-Efficient Decision Making via Offline Multi-Objective RL, published in ICLR 2023
  ☆31Updated 5 months ago
• junming-yang / mopo
  Model-based Offline Policy Optimization re-implement all by pytorch
  ☆31Updated last year
• xihuai18 / A2PO-ICLR2023
  Codebase for [Order Matters: Agent-by-agent Policy Optimization](https://openreview.net/forum?id=Q-neeWNVv1)
  ☆29Updated 4 months ago
• NJU-RL / Meta-DT
  ☆24Updated 7 months ago
• maohangyu / TIT_open_source
  The official implementation of "Transformer in Transformer as Backbone for Deep Reinforcement Learning"
  ☆55Updated last year
• AhmedMagdyHendawy / MOORE
  Official code of the paper "Multi-Task Reinforcement Learning with Mixture of Orthogonal Experts" at ICLR2024
  ☆20Updated 5 months ago
• LAMDA-RL / ODIS
  The implementation of ICLR-2023 paper "Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data".
  ☆41Updated 6 months ago
• dmksjfl / MCQ
  Code for Mildly Conservative Q-learning for Offline Reinforcement Learning (NeurIPS 2022)
  ☆56Updated last year
• jhejna / inverse-preference-learning
  ☆39Updated last year
• BellmanTimeHut / DIPO
  ☆98Updated last year
• SvenGronauer / Bullet-Safety-Gym
  An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.
  ☆68Updated last year
• LAMDA-RL / ACT
  Official code for ACT: Empowering Decision Transformer with Dynamic Programming via Advantage Conditioning (AAAI'24)
  ☆13Updated last year