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Constructing Abstraction Hierarchies Using a Skill-Symbol Loop

2019-11-22 | |  65 |   49 |   0
Abstract We describe a framework for building abstraction hierarchies whereby an agent alternates skilland representation-construction phases to construct a sequence of increasingly abstract Markov decision processes. Our formulation builds on recent results showing that the appropriate abstract representation of a problem is specified by the agent’s skills. We describe how such a hierarchy can be used for fast planning, and illustrate the construction of an appropriate hierarchy for the Taxi domain.

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