Learning Behavior-selection in a Multi-goal Robot Task.

摘要

The purpose of the work reported were is the development of an autonomous robot controller which learns to perform a multi-goal and multi-step task when faced with real world problems such as continuous time and space, and noisy sensors and unreliable actuators.