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About 1701 07274
This document provides an overview of deep reinforcement learning, discussing its core elements, important mechanisms, and applications. It covers 6 core elements including value functions, policy, reward, model, planning and exploration. It also discusses 6 important mechanisms such as attention and memory, unsupervised learning, transfer learning, and hierarchical reinforcement learning. Finally, it reviews 12 applications of deep RL in domains like games, robotics, natural language processing, computer vision, and more.
Detailed Information
Author: | ['Diego Gomez'] |
---|---|
Publication Year: | 2018 |
Pages: | 70 |
Language: | English |
Format: | |
Price: | FREE |
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