[이미지 출처: KRIGOLSON TEACHING]
● 목차
1 INTRODUCTION
2 BACKGROUND
3 DEEP Q-NETWORK
4 ASYNCHRONOUS METHODS
5 POLICY OPTIMIZATION
6 REWARD
7 PLANNING
8 ATTENTION AND MEMORY
9 UNSUPERVISED LEARNING
10 LEARNING TO LEARN
11 GAMES
12 ALPHAGO
13 ROBOTICS
14 SPOKEN DIALOGUE SYSTEMS
15 MACHINE TRANSLATION
16 TEXT SEQUENCE PREDICTION
17 NEURAL ARCHITECTURE DESIGN
18 PERSONALIZED WEB SERVICES
19 HEALTHCARE
20 FINANCE
21 MUSIC GENERATION
22 TO-DO LIST
23 RESOURCES
24 DISCUSSIONS
-기사출처/문서받기 링크: 텐서플로우 블로그 "Review Paper of DL, RL"
-문서
Deep Reinforcement Learning_An Overview.pdf
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