The Design of ALPS: An Adaptive Learning and Planning System

Randall J. Calistri-Yeh and Alberto M. Segre

In order to perform adequately in real-world situations, a planning system must overcome intractable domains, limited planning time, incorrect and uncertain world knowledge, dynamic environments, and real-time response. ALPS, an adaptive learning and planning system, combines traditional components of hybrid planners with innovative techniques from machine learning, distributed computing, and probabilistic reasoning to create a unique architecture ideally suited to address these complex issues.

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