LucasCJYSDL / DGMs-for-Offline-Policy-LearningLinks
This repository provides a survey on the applications of deep generative models for offline reinforcement learning and imitation learning. We cover multiple deep generative models, including VAEs, GANs, Normalizing Flows, Transformers, and Diffusion Models.
☆54Updated 8 months ago
Alternatives and similar repositories for DGMs-for-Offline-Policy-Learning
Users that are interested in DGMs-for-Offline-Policy-Learning are comparing it to the libraries listed below
Sorting:
- ☆120Updated 2 years ago
- Official code of the paper "Multi-Task Reinforcement Learning with Mixture of Orthogonal Experts" at ICLR2024☆41Updated last year
- Implementation of "MADiff: Offline Multi-agent Learning with Diffusion Models"☆103Updated 7 months ago
- [ICLR 2025] Robust Gymnasium: A Unified Modular Benchmark for Robust Reinforcement Learning.☆83Updated 5 months ago
- [ICLR 2024] The official implementation of "Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model"☆118Updated 11 months ago
- [NeurIPS 2023] The official implementation of "Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularizat…☆40Updated last year
- ☆60Updated this week
- ☆25Updated last year
- 🔥 Datasets and env wrappers for offline safe reinforcement learning☆121Updated 2 months ago
- ☆63Updated last year
- [ICML 2022] Robust Task Representations for Offline Meta-Reinforcement Learning via Contrastive Learning☆40Updated 3 years ago
- [NeurIPS 2023] Efficient Diffusion Policy☆114Updated 2 years ago
- This repo relates to the survey paper <Goal-Conditioned Reinforcement Learning: Problems and Solutions>. We collects widely used benchmar…☆143Updated 2 years ago
- ICLR 2024: SafeDreamer: Safe Reinforcement Learning with World Models☆92Updated last year
- Official PyTorch implementation of "ACE:Off-Policy Actor-Critic with Causality-Aware Entropy Regularization"☆35Updated last year
- ☆36Updated 2 years ago
- [ICML 2024] The offical implementation of A2PR, a simple way to achieve SOTA in offline reinforcement learning with an adaptive advantage…☆34Updated last year
- ☆71Updated 6 months ago
- [NeurIPS'22 Spotlight] When to Trust Your Simulator: Dynamics-Aware Hybrid Offline-and-Online Reinforcement Learning☆58Updated 2 years ago
- Safe Multi-Agent Robosuite benchmark for safe multi-agent reinforcement learning research.☆26Updated last year
- An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.☆71Updated 2 years ago
- Author's PyTorch implementation of TD7 for online and offline RL☆162Updated 2 years ago
- Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).☆94Updated 2 years ago
- The official implementation of "Mind the Gap: Offline Policy Optimization for Imperfect Rewards" (ICLR2023)☆16Updated 2 years ago
- [ICLR 2024 Spotlight] Code for ICLR 2024 paper "Towards Robust Offline Reinforcement Learning under Diverse Data Corruption"☆21Updated last year
- This is the official PyTorch implementation of the paper "Boosting Continuous Control with Consistency Policy".☆46Updated 2 months ago
- official implementation for our paper Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning (NeurIPS 2023)☆117Updated last year
- Codes accompanying the paper "Score Regularized Policy Optimization through Diffusion Behavior" (ICLR 2024).☆48Updated last year
- Skill-based Model-based Reinforcement Learning (CoRL 2022)☆64Updated 3 years ago
- This is the repo of "RL-ViGen: A Reinforcement Learning Benchmark for Visual Generalization"☆111Updated 11 months ago