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About CS230: Lecture 9 Deep Reinforcement Learning: Kian Katanforoosh Menti Code: 80 24 08
The document summarizes a lecture on deep reinforcement learning. It covers: I. The motivation for using deep reinforcement learning, including problems with delayed labels and sequential decision making. II. An introduction to reinforcement learning using an example of optimizing recycling. The goal is to learn the best strategy to follow through a sequence of states to maximize rewards. III. It will cover deep Q-networks, using them to solve Atari games, and tips for training deep Q-networks. It will also discuss advanced topics.
Detailed Information
| Author: | ['Spott Tify'] |
|---|---|
| Publication Year: | 2019 |
| Pages: | 44 |
| Language: | English |
| Format: | |
| Price: | FREE |
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