Introduction to Reinforcement Learning
A Tutorial Talk on RL
Introduction
This is a talk I gave at the Berlin Machine Learning Seminar hosted by Ben in the offices of Lateral. It serves as an introduction to reinforcement learning covering the usual suspects like on- and off-policy algorithms, TD-learning and shows how neural networks were used as function approximators in deep reinforcement learning.
The talk can be downloaded here.