Can I read PDP: parallel dynamic programming on EtoBox?

PDP: parallel dynamic programming by Fei-Yue Wang; Jie Zhang; Qinglai Wei; Xinhu Zheng; Li Li is a Engineering article available to read on EtoBox.

What is PDP: parallel dynamic programming about?

Deep reinforcement learning is a focus research area in artificial intelligence. The principle of optimality in dynamic programming is a key to the success of reinforcement learning methods. The principle of adaptive dynamic programming (ADP) is first presented instead of direct dynamic programming (DP), and the inherent relationship between ADP and deep reinforcement learning is developed. Next, analytics intelligence, as the necessary requirement, for the real reinforcement learning, is discussed. Finally, the principle of the parallel dynamic programming, which integrates dynamic programming and analytics intelligence, is presented as the future computational intelligence.

Who reads PDP: parallel dynamic programming?

Author

Fei-Yue Wang; Jie Zhang; Qinglai Wei; Xinhu Zheng; Li Li

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Published

2017

Language

EN

Field

Engineering (Physical Sciences)