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Learning element Design of learning element is dictated by what type of performance element is used which functional component is to be learned how that functional compoent is represented what kind of feedback is available Example scenarios: Performance element Component Representation Feedback Alpha-beta search Eval.fn. Weighted linear function Win/loss Logical agent Transition model Successor-state axioms Outcome Utility-based agent Transition model Dynamic Bayes net Outcome Simple reflex agent Percept-action fn Neural net Correct action Supervised learning:correct answers for each instance Reinforcement learning:occasional rewards Chapter 18,Sections 1-3 5 Learning element Design of learning element is dictated by ♦ what type of performance element is used ♦ which functional component is to be learned ♦ how that functional compoent is represented ♦ what kind of feedback is available Example scenarios: Performance element Alpha−beta search Logical agent Simple reflex agent Component Eval. fn. Transition model Transition model Representation Weighted linear function Successor−state axioms Neural net Utility−based agent Dynamic Bayes net Percept−action fn Feedback Outcome Outcome Win/loss Correct action Supervised learning: correct answers for each instance Reinforcement learning: occasional rewards Chapter 18, Sections 1–3 5
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