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.
☆52Updated 6 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:
- ☆114Updated 2 years ago
- [ICLR 2024] The official implementation of "Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model"☆113Updated 9 months ago
- Implementation of "MADiff: Offline Multi-agent Learning with Diffusion Models"☆86Updated 4 months ago
- [ICLR 2025] Robust Gymnasium: A Unified Modular Benchmark for Robust Reinforcement Learning.☆73Updated 3 months ago
- ☆61Updated last year
- ☆55Updated last week
- ☆25Updated last year
- [NeurIPS 2023] The official implementation of "Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularizat…☆39Updated last year
- 🔥 Datasets and env wrappers for offline safe reinforcement learning☆107Updated last year
- [ICML 2024] The offical implementation of A2PR, a simple way to achieve SOTA in offline reinforcement learning with an adaptive advantage…☆34Updated last year
- The official implementation of "Mind the Gap: Offline Policy Optimization for Imperfect Rewards" (ICLR2023)☆16Updated 2 years ago
- This repo relates to the survey paper <Goal-Conditioned Reinforcement Learning: Problems and Solutions>. We collects widely used benchmar…☆144Updated 2 years ago
- ☆37Updated 2 years ago
- Official PyTorch implementation of "ACE:Off-Policy Actor-Critic with Causality-Aware Entropy Regularization"☆32Updated last year
- D2C(Data-driven Control Library) is a library for data-driven control based on reinforcement learning.☆31Updated 2 years ago
- Official code of the paper "Multi-Task Reinforcement Learning with Mixture of Orthogonal Experts" at ICLR2024☆36Updated 11 months ago
- [OWA@NeurIPS'24] xTED: Cross-Domain Adaptation via Diffusion-Based Trajectory Editing☆20Updated last year
- Code release for "HarmonyDream: Task Harmonization Inside World Models" (ICML 2024), https://arxiv.org/abs/2310.00344☆48Updated last year
- This is the repo of "RL-ViGen: A Reinforcement Learning Benchmark for Visual Generalization"☆107Updated 8 months ago
- [ICML 2022] Robust Task Representations for Offline Meta-Reinforcement Learning via Contrastive Learning☆37Updated 3 years ago
- ICLR 2024: SafeDreamer: Safe Reinforcement Learning with World Models☆80Updated last year
- [NeurIPS'22 Spotlight] When to Trust Your Simulator: Dynamics-Aware Hybrid Offline-and-Online Reinforcement Learning☆58Updated 2 years ago
- ☆64Updated 4 months ago
- [NeurIPS 2023] Efficient Diffusion Policy☆112Updated 2 years ago
- Skill-based Model-based Reinforcement Learning (CoRL 2022)☆62Updated 3 years ago
- Author's PyTorch implementation of TD7 for online and offline RL☆153Updated 2 years ago
- Reading List☆35Updated 2 years ago
- [ICML'2023 Oral] "AdaptDiffuser: Diffusion Models as Adaptive Self-evolving Planners"☆65Updated 2 years ago
- ☆29Updated 2 years ago
- Safe Multi-Agent Robosuite benchmark for safe multi-agent reinforcement learning research.☆24Updated last year