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from Part I - Deterministic State-Transition Systems
Published online by Cambridge University Press: 19 May 2025
This chapter is about two key aspects of learning with deterministic models: learning heuristics to speed up the search for a solution plan and the automated synthesis of the model itself. We discuss how to learn heuristics for exploring parts of the search space that are more likely to lead to solutions. We then address the problem of how to learn a deterministic model, with a focus on learning action schemas.
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