Dive into the fundamentals of Reinforcement Learning through a concise 30-minute video lecture. Explore key concepts and principles that form the backbone of this powerful machine learning technique. Gain insights into how agents learn to make decisions through interaction with their environment, understanding the balance between exploration and exploitation. Learn about reward systems, policy optimization, and value functions that drive the learning process in RL algorithms. Suitable for both beginners seeking an introduction to Reinforcement Learning and experienced practitioners looking to refresh their knowledge.
Overview
Syllabus
RL 2 - Reinforcement Learning (33 min).
RL 1 - Reinforcement Learning (20 min).
Taught by
Prof. Laurenz Wiskott
