Qualitative planning with quantitative constraints for online learning of robotic behaviours
作者： Ivan Bratko , Claude Sammut , Timothy Wiley
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摘要: This paper resolves previous problems in the Multi-Strategy architecture for online learning of robotic behaviours. The hybrid method includes a symbolic qualitative planner that constructs an approximate solution to control problem. provides constraints numerical optimisation algorithm, which is used refine plan into operational policy. Introducing quantitative gives previously unachievable domain independent reasoning. demonstrated on multi-tracked robot intended urban search and rescue.
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