An undergraduate/masters level course based on Sequential Decision Analytics and Modeling – This course focuses in developing a way of thinking about sequential decision problems using a rich series of examples.A graduate-level course based on Reinforcement Learning and Stochastic Optimization – This course provides a thorough introduction to the materials needed to develop models and algorithms for practical applications.Suggested courses on sequential decision analytics: Original link: Courses and teaching materials: The companion book above has a Python module developed for most of the chapters (these are also used in the new RLSO book). If you have a student who wants to work in this area, encourage them to write a chapter on a problem of their choosing and add it to: One way to learn this material is to write your own chapters in the same style as the book Sequential Decision Analytics and Modeling. This is a companion book for RLSO written for an undergraduate level course (this is a free download, and has a python module for most of the chapters): The link to the page for Sequential Decision Analytics and Modeling. The link to the page for Reinforcement Learning and Stochastic Optimization: This provides a more in-depth introduction to the modeling framework and the four classes of policies: My best video introduction to sequential decision analytics was prepared for a Distinguished Speaker series in supply chain management:Ī four part tutorial that I have given several times, most recently to a class at Oxford in December, 2022. New! I prepared a webpage with a direct comparison of classical “reinforcement learning” (as captured by Sutton and Barto) and my RLSO book: There is a lot of interest in “reinforcement learning” but a surprising lack of consensus on precisely what this means. My original “jungle of stochastic optimization” webpage:Ī discussion that bridges “reinforcement learning” to “sequential decision analytics”: Introduction to the fields of sequential decision problems:Īn introduction to the field I am calling “sequential decision analytics”: Please use the “tinyurl” link if you can so I can see which links are attracting the most interest. This page will list the most interesting resources, including both the “tinyurl” link and the original link. Also, I have been using “tinyurl” links because they are easier to remember (and I can track traffic), but not everyone can use these links. I have been accumulating a number of links to pages on “sequential decision analytics” and my new book Reinforcement Learning and Stochastic Optimization.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |