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CS B659: Reinforcement Learning

News:

• Here is a document Download Here is a document
  with more details and intuitions about Bellman equations
• New page available on the Reinforcement learning code used for this course.
• Project page is up!
• Here are two projects from last year that were well done: here Download here
   and here Download here
• A great reference to brush up on statistics is the book All of Statistics Links to an external site.

Basic info:

• Class meets Tuesday & Thursday 2:30pm - 3:45 pm, Ballantine Hall Room 330
• Instructor: Adam White
• office: 201-I Lindley Hall
• office hours: wed 1-3pm
• email: adam@adamwhite.ca
• web: adamwhite.ca Links to an external site.

• AI: Matthew Schlegel
• office: Lindley Hall 406
• office hours: (Tentative) *: 4-6, Wed: 4-6  (* - The day homework is due)
• email: mkschleg@umail.iu.edu

• AI: Su Zhang
• office: Lindley Hall 004
• office hours: (Tentative) *: 4-6, Mon: 4-6  (* - The day homework is due)
• email: zhangsu@indiana.edu 

Class schedule

This schedule is tentative and may change throughout the semester.

Readings and assignment questions are from the main course text: Sutton and Barto Links to an external site.

Supplementary material can be found in Szepesvari's book Links to an external site..

These slides will be released progressively.