opendilab/awesome-diffusion-model-in-rl resource

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1632 stars · 78 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A curated, continually updated list of research papers and codebases on diffusion models applied to reinforcement learning. It organizes publications by venue (NeurIPS, ICML, ICLR, etc.) and includes an overview of key approaches like Diffuser and Diffusion-QL.

Use cases

• find research papers on diffusion models for reinforcement learning
• learn how diffusion models are used for trajectory planning in RL
• survey diffusion policy methods for offline reinforcement learning
• find code implementations of diffusion-based RL algorithms
• track the state of the art in diffusion RL research
• get an overview of advantages of diffusion models over bootstrapping in RL

When to choose

• you are a researcher or student surveying diffusion model applications in reinforcement learning
• you need a categorized reading list of diffusion RL papers by conference and year
• you want links to paper codebases and experiment environments

When to avoid

• you need a runnable RL library or framework rather than a paper collection
• you want production-ready diffusion model tooling
• you need general reinforcement learning resources unrelated to diffusion models

Facets

learning-resource · maturity active

machine-learning reinforcement-learning documentation reinforcement-learning deep-learning machine-learning awesome-lists tutorials cross-platform awesome-list diffusion-models research-papers curated-resources offline-rl trajectory-optimization

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markdown · JSON · MCP: product_card(name="opendilab/awesome-diffusion-model-in-rl")