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Introduction Reinforcement Learning - CECS SSLL

Introduction Reinforcement Learning Scott Sanner NICTA / ANU Learn Sense First.Last@nicta.com.au Act. Lecture Goals 1) To understand formal models for decision-making under uncertainty and their properties • Unknown models (reinforcement learning ) • Known models (planning under uncertainty )

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