Sebastian Rosengren: Neural networks - Reinforcement learning
Mini course on Neural networks, Part 2
Tid: On 2020-05-06 kl 15.15 - 17.00
Plats: Zoom, Registration required.
Föreläsare: Sebastian Rosengren, Stockholms universitet
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 lecture we will introduce the underlying theory of reinforcement learning: Markov Decision Processes, Bellman equations, and Value Iteration.
We will also provide an introduction to more modern approaches such as Q-learning, and Deep Q-learning. In the end we will play some tic-tac-toe against our own creation.
How to register
We wish to confine the number of participants to members of academic and professional communities, so that we introduced a registration procedure. In order to get registered, please send an email to firstname.lastname@example.org .