Meta-level reasoning in deliberative agents

Abstract

Deliberative agents operating in open environments must make complex real-time decisions on scheduling and coordination of domain activities. These decisions are made in the context of limited resources and uncertainty about the outcomes of activities. We describe a reinforcement learning based approach for efficient meta-level reasoning. Empirical results… (More)
DOI: 10.1109/IAT.2004.1342936

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