Deep Reinforcement Learning: Fundamentals, Research and Applications [1st ed.] 9789811540943, 9789811540950

Deep reinforcement learning (DRL) is the combination of reinforcement learning (RL) and deep learning. It has been able

258 66 8MB

English Pages XXVII, 514 [526] Year 2020

Table of contents :
Front Matter ....Pages i-xxvii
Front Matter ....Pages 1-1
Introduction to Deep Learning (Jingqing Zhang, Hang Yuan, Hao Dong)....Pages 3-46
Introduction to Reinforcement Learning (Zihan Ding, Yanhua Huang, Hang Yuan, Hao Dong)....Pages 47-123
Taxonomy of Reinforcement Learning Algorithms (Hongming Zhang, Tianyang Yu)....Pages 125-133
Deep Q-Networks (Yanhua Huang)....Pages 135-160
Policy Gradient (Ruitong Huang, Tianyang Yu, Zihan Ding, Shanghang Zhang)....Pages 161-212
Combine Deep Q-Networks with Actor-Critic (Hongming Zhang, Tianyang Yu, Ruitong Huang)....Pages 213-245
Front Matter ....Pages 247-248
Challenges of Reinforcement Learning (Zihan Ding, Hao Dong)....Pages 249-272
Imitation Learning (Zihan Ding)....Pages 273-306
Integrating Learning and Planning (Huaqing Zhang, Ruitong Huang, Shanghang Zhang)....Pages 307-316
Hierarchical Reinforcement Learning (Yanhua Huang)....Pages 317-333
Multi-Agent Reinforcement Learning (Huaqing Zhang, Shanghang Zhang)....Pages 335-346
Parallel Computing (Huaqing Zhang, Tianyang Yu)....Pages 347-364
Front Matter ....Pages 365-365
Learning to Run (Zihan Ding, Hao Dong)....Pages 367-377
Robust Image Enhancement (Yanhua Huang)....Pages 379-389
AlphaZero (Hongming Zhang, Tianyang Yu)....Pages 391-415
Robot Learning in Simulation (Zihan Ding, Hao Dong)....Pages 417-442
Arena Platform for Multi-Agent Reinforcement Learning (Zihan Ding)....Pages 443-465
Tricks of Implementation (Zihan Ding, Hao Dong)....Pages 467-482
Front Matter ....Pages 483-483
Algorithm Table (Zihan Ding)....Pages 485-488
Algorithm Cheatsheet (Zihan Ding)....Pages 489-514

Deep Reinforcement Learning: Fundamentals, Research and Applications [1st ed.]
9789811540943, 9789811540950

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Hao Dong
Zihan Ding
Shanghang Zhang

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