Resolving Conflicts Among Actions in Concurrent Behaviors: Learning to Coordinate

Henry Hexmoor, University of North Dakota, USA

A robotic agent must coordinate its coupled concurrent behaviors to produce a coherent response to stimuli. Reinforcement learning has been used extensively in coordinating sensing to acting of a single behavior and it has been shown useful in loosely coupled concurrent behaviors. We present a technique for applying Q values developed in learning individual behaviors for coordination among coupled concurrent behaviors.


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