Learning, Planning, and Control in a Monolithic Neural Event Inference Architecture

19 Sep 2018Martin V. ButzDavid BilkeyDania HumaidanAlistair KnottSebastian Otte

We introduce REPRISE, a REtrospective and PRospective Inference SchEme, which learns temporal event-predictive models of dynamical systems. REPRISE infers the unobservable contextual event state and accompanying temporal predictive models that best explain the recently encountered sensorimotor experiences retrospectively... (read more)

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