Learns the environment's dynamics and plans against them, rather than caching what actions were worth. Buys sample efficiency and pays for it with whatever the model gets wrong.
supersedescorrects · extends
classifiesspecializes · part-of
substitutes forapproximates · alternative-to
depends onrequires · validates
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alternative-tois a competing approach to Q-Learningplans with learned dynamics instead of caching values
Referenced by
specializesWorld Model is a specific case of thisthe learned model is a latent-space simulator
References
Dream to Control: Learning Behaviors by Latent Imagination — Hafner, Lillicrap, Ba, Norouzi — 2019 · link