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

A curated list of Diffusion Model in RL resources (continually updated)

Repository: https://github.com/opendilab/awesome-diffusion-model-in-rl
Canonical: https://ross.abutalabs.com/products/awesome-diffusion-model-in-rl
License: Apache-2.0
License Family: permissive
Topics: deep-reinforcement-learning, diffusion-model, diffusion-models, reinfocement-learning
Last push: 2026-05-30T00:33:27+00:00

## Health v2 (maintenance only)
Score: 70/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 84, release rhythm 35, longevity 100
- inputs: {"age_days": 1410, "days_push": 96, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1632, forks 78 (observed 2026-08-28T04:05:14.169196+00:00)

## What it is
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
- artifact type: learning-resource
- maturity: active
- function: machine-learning, reinforcement-learning, documentation
- domain: reinforcement-learning, deep-learning, machine-learning, awesome-lists, tutorials
- platform: cross-platform
- tags: awesome-list, diffusion-models, research-papers, curated-resources, offline-rl, trajectory-optimization

## Member repositories
- opendilab/awesome-diffusion-model-in-rl (main) score 70

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:14.169196+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:47:47.694393+00:00, confidence not recorded.
  - readme: https://github.com/opendilab/awesome-diffusion-model-in-rl (fetched 2026-08-28T04:05:14.169196+00:00, sha 7ee612102c24)
- Data as of 2026-08-30T08:39:29.467469+00:00.