Code |
Course Name |
Language |
Type |
YZV 415E |
Deep Reinforcement Learning |
English |
Elective |
Local Credits |
ECTS |
Theoretical |
Tutorial |
Laboratory |
3 |
5 |
3 |
0 |
0 |
Course Prerequisites and Class Restriction |
Prerequisites |
YZV 302E MIN DD or YZV 303E MIN DD
|
Class Restriction |
None |
Course Description |
Introduction to Reinforcement Learning, Markov Decision Processes, Dynamic
Programming, Model Free Reinforcement Learning, Approximate Dynamic
Programming and Reinforcement Learning, Deep Reinforcement Learning and Neural
Networks, Exploration Strategies, Partially Observable Problems, Model Based Deep
Reinforcement Learning, Applications for Autonomous Systems |
|