Reactive, Proactive, and Passive Learning about Incomplete Actions

Abstract

Agents with incomplete knowledge of their actions can either plan around the incompleteness, learn by querying a domain expert, or learn through trial and error. In deciding what to learn, an agent must consider whether an incomplete action feature is relevant to achieving its goals. In deciding how to learn an action feature, the agent can i) try to… (More)

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Cite this paper

@inproceedings{Weber2011ReactivePA, title={Reactive, Proactive, and Passive Learning about Incomplete Actions}, author={Christopher Weber and Daniel Bryce}, year={2011} }