Computer Science 687 - Reinforcement Learning

Fall
2017
01
3.00
Philip Thomas
TU TH 2:30PM 3:45PM
UMass Amherst
42315
This course will provide an introduction to, and comprehensive overview of, reinforcement learning (RL), including hierarchical RL, deep RL, and connections to animal learning.
Open to COMPSCI graduate students only. PREREQUISITES: COMPSCI 589, or COMPSCI 689, or COMPSCI 683, with a grade of C or better. Familiarity with an object oriented programming language is required (assignments will use C++, but familiarity with C++ specifically will not be assumed). STUDENTS NEEDING SPECIAL PERMISSION MUST REQUEST OVERRIDES VIA THE ON-LINE FORM: https://www.cics.umass.edu/overrides.
Permission is required for interchange registration during all registration periods.