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Markov Decision Processes 1 - Value Iteration | Stanford CS221: AI (Autumn 2019)

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Stanford Online

For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/3pUNqG7

Topics: MDP1, Search review, Project
Percy Liang, Associate Professor & Dorsa Sadigh, Assistant Professor Stanford University
http://onlinehub.stanford.edu/

Associate Professor Percy Liang
Associate Professor of Computer Science and Statistics (courtesy)
https://profiles.stanford.edu/percyl...

Assistant Professor Dorsa Sadigh
Assistant Professor in the Computer Science Department & Electrical Engineering Department
https://profiles.stanford.edu/dorsas...

To follow along with the course schedule and syllabus, visit:
https://stanfordcs221.github.io/autu...


Chapters:
0:00 intro
2:12 Course Plan
3:45 Applications
10:48 Rewards
18:46 Markov Decision process
19:33 Transitions
20:45 Transportation Example
29:28 What is a Solution?
30:58 Roadmap
36:36 Evaluating a policy: volcano crossing
37:38 Discounting
53:21 Policy evaluation computation
55:23 Complexity
57:10 Summary so far

#artificialintelligencecourse

posted by Ingiosiib