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Sebastian Rosengren and Erik Thorsén: An introduction to Reinforcement Learning

Tid: On 2018-11-28 kl 15.15 - 16.15

Plats: Room 306, House 6, Kräftriket, Department of Mathematics, Stockholm University

Medverkande: Sebastian Rosengren (SU) and Erik Thorsén (SU)

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Abstract: Reinforcement learning is as many things are in machine learning both the problem and the solution.    The problem: How should an agent act in an uncertain environment? The Solution: Optimal. In this talk we introduce the underlying theory of reinforcement learning: Markov Decision Processes, Bellman equations, and Value Iteration. As well as provide an introduction to more modern approaches such as Q-learning, and Deep Q-learning. The running example will be blackjack.