Transcription of Introduction to Reinforcement Learning
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Introduction to Reinforcement Learning
Bayesian Methods in Reinforcement Learning ICML 2007 Introduction to Reinforcement LearningBayesian Methods in Reinforcement Learning ICML 2007 sequential decision making under uncertaintyMove around in the physical world ( driving, navigation)Play and win a gameRetrieve information over the webDo medical diagnosis and treatmentMaximize the throughput of a factoryOptimize the performance of a rescue team?How Can I .. ?Bayesian Methods in Reinforcement Learning ICML 2007 Reinforcement Learning RL: A class of Learning problems in which an agent interacts with an unfamiliar, dynamic and stochastic environmentGoal: Learn a policy to maximize some measure of long-term rewardInteraction: Modeled as a MDP or a POMDPE nvironmentActionStateRewardBayesian Methods in Reinforcement Learning
Introduction to Reinforcement Learning. Bayesian Methods in Reinforcement Learning ICML 2007 sequential decision making under uncertainty Move around in the physical world (e.g. driving, navigation) Play and win a game Retrieve information over the web Do medical diagnosis and treatment ...
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