Alternatives and similar repositories for AD4RL

Users that are interested in AD4RL are comparing it to the libraries listed below

• ZhengYinan-AIR / FISOR
  [ICLR 2024] The official implementation of "Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model"
  ☆101Updated 3 months ago
• mahaitongdae / Reachability_Constrained_RL
  Official open-source implementation of ICML 2022 paper: Reachability Constrainted Reinforcement Learning.
  ☆36Updated 2 years ago
• weiaiF / offlineRL-INTERACTION
  ☆14Updated 2 years ago
• gwthomas / Safe-MBPO
  Code for the NeurIPS 2021 paper "Safe Reinforcement Learning by Imagining the Near Future"
  ☆45Updated 3 years ago
• ManUtdMoon / Distributional-Reachability-Policy-Optimization
  Official implementation of the paper: Safe Model-Based Reinforcement Learning with an Uncertainty-Aware Reachability Certificate
  ☆22Updated last year
• LucasCJYSDL / DGMs-for-Offline-Policy-Learning
  This repository provides a survey on the applications of deep generative models for offline reinforcement learning and imitation learning…
  ☆49Updated 3 weeks ago
• geon-hyeong / imitation-dice
  ☆7Updated 2 years 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
• decisionforce / EGPO
  [CoRL 2021] Official implementation of paper "Safe Driving via Expert Guided Policy Optimization".
  ☆46Updated last year
• t6-thu / xTED
  [OWA@NeurIPS'24] xTED: Cross-Domain Adaptation via Diffusion-Based Trajectory Editing
  ☆18Updated 7 months 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
• jjyyxx / srlnbc
  Model-Free Safe Reinforcement Learning through Neural Barrier Certificate
  ☆39Updated last year
• t6-thu / H2O
  [NeurIPS'22 Spotlight] When to Trust Your Simulator: Dynamics-Aware Hybrid Offline-and-Online Reinforcement Learning
  ☆56Updated last year
• PKU-Alignment / SafeDreamer
  ICLR 2024: SafeDreamer: Safe Reinforcement Learning with World Models
  ☆68Updated last year
• Plankson / CSIRL
  [IEEE Transactions on Intelligent Transportation Systems] Curricular Subgoal for Inverse Reinforcement Learning
  ☆15Updated last year
• zlr20 / saferl_kit
  ☆74Updated last year
• Guiliang / ICRL-benchmarks-public
  ☆14Updated last year
• zbzhu99 / madiff
  Implementation of "MADiff: Offline Multi-agent Learning with Diffusion Models"
  ☆74Updated 4 months ago
• pcheng2 / TSRL
  ☆17Updated last year
• liuzuxin / DSRL
  🔥 Datasets and env wrappers for offline safe reinforcement learning
  ☆95Updated 8 months ago
• ldcq / ldcq
  ☆33Updated 2 years ago
• TMIS-Turbo / FNI-RL
  [TPAMI, 2023] Fear-Neuro-Inspired Reinforcement Learning for Safe Autonomous Driving
  ☆43Updated 5 months ago
• intelligent-control-lab / guard
  ☆50Updated 4 months ago
• shlee94 / Off2OnRL
  ☆56Updated 2 years ago
• Facebear-ljx / RGM
  The official implementation of "Mind the Gap: Offline Policy Optimization for Imperfect Rewards" (ICLR2023)
  ☆16Updated 2 years ago
• AhmedMagdyHendawy / MOORE
  Official code of the paper "Multi-Task Reinforcement Learning with Mixture of Orthogonal Experts" at ICLR2024
  ☆19Updated 6 months ago
• mahaitongdae / Feasible-Actor-Critic
  Code for paper Feasible Actor-Critic: Constrained Reinforcement Learning for Ensuring Statewise Safety.
  ☆20Updated 3 years ago
• YaoMarkMu / DOMINO_MB-MetaRL
  ☆21Updated 2 years ago
• YangRui2015 / RIQL
  Code for ICLR 2024 paper "Towards Robust Offline Reinforcement Learning under Diverse Data Corruption"
  ☆17Updated 6 months ago
• YizhouXu-THU / CLIC
  [ICRA 2024] Official codes for paper: Continual Driving Policy Optimization with Closed-Loop Individualized Curricula.
  ☆19Updated 7 months ago