RESEARCH PAPERYear 2024

Diffusion for World Modeling: Visual Details Matter in Atari

Eloi Alonso; Adam Jelley; Vincent Micheli; Anssi Kanervisto; Amos Storkey; Tim Pearce; François Fleuret

Classification

Major category: Foundational work
Quadrant: Not applicable
Architecture: Not applicable
Prediction paradigm: Not applicable
Subcategories: Classical world models & model-based RL
Source review status: Verified from primary sources

Category review. DIAMOND is a 2024 foundational diffusion-based environment-model/actor-critic method. An action-conditioned pixel simulator provides imagined experience for a separate policy, extending classical model-based RL rather than proposing a task-specific unified WAM. Reading evidence

AT A GLANCE

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BibTeX

@inproceedings{diamond,
  author       = {Eloi Alonso and
                  Adam Jelley and
                  Vincent Micheli and
                  Anssi Kanervisto and
                  Amos J. Storkey and
                  Tim Pearce and
                  Fran{\c{c}}ois Fleuret},
  title        = {Diffusion for World Modeling: Visual Details Matter in Atari},
  booktitle    = {NeurIPS},
  year         = {2024},
}

Classification

Contribution

Abstract

Affiliations

BibTeX

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