Learning Action Models for Reactive Autonomous Agents

Learning Action Models for Reactive Autonomous Agents

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Previous work on action-model learning has focused on domains that contain only deterministic, atomic action models that explicitly describe all changes that can occur in the environment. The thesis extends this previous work to cover domains that contain durative actions, continuous variables, nondeterministic action effects, and actions taken by other agents. Results have been demonstrated in several robot simulation environments and the Silicon Graphics, Inc. flight simulator.The thesis extends this previous work to cover domains that contain durative actions, continuous variables, nondeterministic action effects, and actions taken by other agents.


Title:Learning Action Models for Reactive Autonomous Agents
Author: Scott Sherwood Benson
Publisher: - 1996
ISBN-13:

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