RESEARCH PAPERYear 2021

Mastering Atari with Discrete World Models

Danijar Hafner; Timothy Lillicrap; Mohammad Norouzi; Jimmy Ba

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. DreamerV2 is a pre-2026 foundational discrete-latent world-model actor-critic algorithm. The world model supplies imagined transitions for a separate policy, establishing core MBRL machinery that current WAMs build on. Reading evidence

AT A GLANCE

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BibTeX

@inproceedings{dreamerv2,
  author       = {Danijar Hafner and
                  Timothy P. Lillicrap and
                  Mohammad Norouzi and
                  Jimmy Ba},
  title        = {Mastering Atari with Discrete World Models},
  booktitle    = {ICLR},
  year         = {2021},
 
}

Classification

Contribution

Abstract

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BibTeX

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