Path planning based on improved Deep Deterministic Policy Gradient algorithm
Published in 2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) • Mar 1, 2019
NobleIDNI1P13W17R61S39
Authors:,,
Yandong Liu
Wenzhi Zhang
Fumin Chen
Abstract
Traditional DDPG algorithm experience replay is limited by the fixed replay buffer capacity, which cannot meet the demand for multi-feature data with the improvement of the learning ability of the algorithm. Aiming at the above problems, a variable capacity experience replay sampling method based on...
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