Stanford CS234: Reinforcement Learning - Winter 2019

Overview

Dive into the world of reinforcement learning with this comprehensive lecture series from Stanford University's CS234 course. Over 19 hours of content, explore key concepts from introduction to advanced topics. Begin with the fundamentals and progress through model-based and model-free approaches, value function approximation, and deep Q learning. Delve into imitation learning, policy gradient methods, and fast reinforcement learning techniques. Examine batch reinforcement learning and Monte Carlo tree search. Led by expert instructor Emma Brunskill, gain a solid foundation in reinforcement learning theory and applications through this in-depth academic course.

Syllabus

Stanford CS234: Reinforcement Learning | Winter 2019 | Lecture 1 - Introduction - Emma Brunskill.
Stanford CS234: Reinforcement Learning | Winter 2019 | Lecture 2 - Given a Model of the World.
Stanford CS234: Reinforcement Learning | Winter 2019 | Lecture 3 - Model-Free Policy Evaluation.
Stanford CS234: Reinforcement Learning | Winter 2019 | Lecture 4 - Model Free Control.
Stanford CS234: Reinforcement Learning | Winter 2019 | Lecture 5 - Value Function Approximation.
Stanford CS234: Reinforcement Learning | Winter 2019 | Lecture 6 - CNNs and Deep Q Learning.
Stanford CS234: Reinforcement Learning | Winter 2019 | Lecture 7 - Imitation Learning.
Stanford CS234: Reinforcement Learning | Winter 2019 | Lecture 8 - Policy Gradient I.
Stanford CS234: Reinforcement Learning | Winter 2019 | Lecture 9 - Policy Gradient II.
Stanford CS234: Reinforcement Learning | Winter 2019 | Lecture 10 - Policy Gradient III & Review.
Stanford CS234: Reinforcement Learning | Winter 2019 | Lecture 11 - Fast Reinforcement Learning.
Stanford CS234: Reinforcement Learning | Winter 2019 | Lecture 12 - Fast Reinforcement Learning II.
Stanford CS234: Reinforcement Learning | Winter 2019 | Lecture 13 - Fast Reinforcement Learning III.
Stanford CS234: Reinforcement Learning | Winter 2019 | Lecture 15 - Batch Reinforcement Learning.
Stanford CS234: Reinforcement Learning | Winter 2019 | Lecture 16 - Monte Carlo Tree Search.