Reinforcement Learning and Geometric Algorithms

CMPS 499/CSCE 572


General Information

Instructor
Miao Jin Office hours: TR 9:30am - 11:00am ACTR 237

Times & Places
TR 11:00am - 12:15pm, ACTR 113

Objectives:

Reinforcement Learning: a range of topics related to reinforcement learning.
 
Topics include:
Geometric Algorithms: a range of topics related to geometric representation and computation. We will study fundamental data structures and algorithms from computational geometry and their applications to problems that occur in practice.
 
Topics may include:
Prerequisites
CMPS 341 Formal Foundations of Computer Science.

Textbooks
An Introduction to Reinforcement Learning, Second edition, in progress (Available free online! ) by Richard S. Sutton and Andrew G. Barto (optional).
Computational Geometry, Algorithms and Applications by Mark de Berg et al (optional).

Grading