Decision-Theoretic Refinement Planning using Inheritance Abstraction

Peter Haddawy and Meliani Suwandi

We present a method for abstracting probabilistic conditional actions and we show how to compute ex-pected utility bounds for plans containing such abstract actions. We present a planning algorithm that searches through the space of possible plans by build-ing abstract plans, comparing them, and refining only those that might be refinable to the optimal plan.

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