Course Code & Number
ADS 580
Course Title
Introduction to Reinforcement Learning
Level
MS
Credit Hours/ ECTS Credits
(3+0+0) 3 TEDU Credits, 7.5 ECTS Credits
Type of Course:
Compulsory
Departmental Elective
Free Elective
Pre-requisite / Co-requisite:
Pre-requisites: NONE
Co-requisites: NONE
Catalog Description
Tabular approaches; Markov decision processes; dynamic programming; Monte Carlo and temporal-difference learning. Deep value-based and policy-gradient methods; deep-Q-networks; proximal policy optimization; actor-critic methods, reinforce; trust region policy approximation.