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About Deep Reinforcement Learning An Overview
This document provides an overview of recent achievements in deep reinforcement learning. It begins with background on deep learning and reinforcement learning. It then discusses major developments like Deep Q-Networks, asynchronous methods, policy optimization, attention and memory models, unsupervised learning, and applications to games, robotics, dialogue systems and more. The document reviews key papers and resources for further learning about deep reinforcement learning.
Detailed Information
Author: | ['Max Jordan Dooley'] |
---|---|
Publication Year: | 2021 |
Pages: | 30 |
Language: | English |
Format: | |
Price: | FREE |
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