Sebastian Rosengren and Erik Thorsén: An introduction to Reinforcement Learning
On 2018-11-28 kl 15.15 - 16.15
Sebastian Rosengren (SU) and Erik Thorsén (SU)
Room 306, House 6, Kräftriket, Department of Mathematics, Stockholm University
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.