Stanford CS234: Reinforcement Learning - Winter 2019
YouTube
60 Courses
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Overview
Explore the forefront of artificial intelligence with Stanford University's CS234: Reinforcement Learning (Winter 2019), now available on YouTube. This comprehensive course delves into the core principles of reinforcement learning, tailored for those eager to grasp the latest in AI advancements. Topics covered include an introduction to reinforcement learning, world modeling, model-free policy evaluation and control, value function approximation, leveraging convolutional neural networks and deep Q-learning, imitation and policy gradients, alongside applications. Dive deeper into advanced areas like fast reinforcement learning, batch reinforcement learning, and Monte Carlo tree search. By the culmination of this course, participants will have developed a profound understanding of reinforcement learning, its significance, and its real-world applications. Enroll now and join the community exploring this critical frontier in Artificial Intelligence, Machine Learning, and Reinforcement Learning Courses.
Syllabus
Taught by
Tags
YouTube
YouTube
34 Courses
YouTube
Free Online Course
English
19 hours
On-Demand
