Policy Gradient
Offered By: Pascal Poupart via YouTube
Course Description
Overview
Explore policy gradient methods in reinforcement learning through this comprehensive lecture. Delve into stochastic policies, supervised learning techniques, and the stochastic gradient policy theorem. Gain insights into the derivation process and understand the approach used in AlphaGo. Recap key concepts and conclude with a thorough understanding of policy gradient algorithms and their applications in artificial intelligence.
Syllabus
Introduction
Recap
Stochastic Policies
Supervised Learning
Stochastic Gradient Policy Theorem
Derivation
Alphago Approach
Conclusion
Taught by
Pascal Poupart
Related Courses
Introduction to Artificial IntelligenceStanford University via Udacity Natural Language Processing
Columbia University via Coursera Probabilistic Graphical Models 1: Representation
Stanford University via Coursera Computer Vision: The Fundamentals
University of California, Berkeley via Coursera Learning from Data (Introductory Machine Learning course)
California Institute of Technology via Independent