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About Deep Reinforcement Learning
This document outlines the syllabus for a Deep Reinforcement Learning course offered in Spring 2021. The course will be taught online and cover topics such as Markov Decision Processes, dynamic programming, Monte Carlo methods, deep learning, and deep RL algorithms like Q-learning. Students will complete programming assignments and exams. Grades will be based on homework, quizzes, a midterm, and a final exam. The course aims to provide an understanding of deep RL and hands-on experience applying these methods.
Detailed Information
| Author: | ['Ajay Kuruvilla'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 3 |
| Language: | English |
| Format: | |
| Price: | FREE |
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