The University of Texas Rio Grande Valley

CSCI 6353 Reinforcement Learning

In this course, we will learn and implement basic theory and practical algorithms of reinforcement learning (RL) to be capable of understanding research papers on RL and able to develop a new RL algorithm for a given problem. The course will focus on state of the art techniques including Deep Q-Learning, Policy Gradient, and Actor Critic. After studying basic algorithms, current scientific topics selected from recent Deep Reinforcement Learning research papers will be discussed.

Credits

3

Schedule Type

Lecture

Grading Basis

Standard Letter (A-F)

Administrative Unit

Department of Computer Science

Offered

Spring