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Introduction to Reinforcement Learning - Inria

Master MVA: Reinforcement LearningLecture: 1 Introduction to Reinforcement LearningLecturer:Alessandro lazaric/ of the Lecture1. Brief historical overview of Reinforcement learning2. A multi-disciplinary field3. The agent-environment model1 Reinforcement Learning : from Psychology to Machine Animal Learning , Experimental Psychology, and NeuroscienceThe law of effect[Thorndike, 1911]: Of several responses made to the same situation, those which are accompanied or closely followedbysatisfactionto the animal will, other things being equal, be more firmly connected with thesituation, so that, when it recurs, they will be more likely to recur; those which are accompanied orclosely followed bydiscomfortto the animal will, other things being equal, have their connectionswith that situation weakened, so that, when it recurs, they will be less likely to occur.

2 Introduction to Reinforcement Learning Emotions theory: model on how the emotional process can bias the decision process [Damasio, 1994]. Dopamine and basal ganglia model: direct link with motor control and decision-making (e.g., [Doya, 1999]).

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