Stanford CS234: Reinforcement Learning is a course designed for students interested in learning about the latest advancements in artificial intelligence. The course covers foundational topics in reinforcement learning including: introduction to reinforcement learning, modeling the world, model-free policy evaluation, model-free control, value function approximation, convolutional neural networks and deep Q-learning, imitation, policy gradients and applications, fast reinforcement learning, batch reinforcement learning and Monte Carlo tree search. By the end of this course, students will have gained an appreciation of the field of reinforcement learning, its importance and how it is applied in the real world.
Overview
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.
Taught by
Stanford Online
