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Introduction to Reinforcement Learning

Introduction to Reinforcement Learning MAL Seminar 2013-2014 RL Background Learning by interacting with the environment Reward good behavior, punish bad behavior Combines ideas from psychology and control theory Why Reinforcement Learning ?Based on ideas from psychology Edward Thorndike slaw of effect Satisfaction strengthens behavior,discomfort weakens it Skinner sprinciple ofreinforcement Skinner Box: train animals byproviding (positive) feedbackLearning by interacting with theenvironmentReinforcement Learning -1/12 The Problem Reinforcement Learning is Learning what to do--how to map situations to actions--so as to maximize a numerical reward signal. The learner is not told which actions to take, as in most forms of machine Learning , but instead must discover which actions yield the most reward by trying them.

The Problem Reinforcement learning is learning what to do--how to map situations to actions--so as to maximize a numerical reward signal.The learner is not told which actions to take, as in most forms of machine learning, but instead

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