Target Tracking and Path Planning of Mobile Sensor Based on Deep Reinforcement Learning-Reference-Cited by-同舟云学术

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Target Tracking and Path Planning of Mobile Sensor Based on Deep Reinforcement Learning

Published:2023-05-12 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 12th Data Driven Control and Learning Systems Conference (DDCLS)
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Author:

Zhang Kun¹,Hu Yuanjiang¹,Huang Deqing¹,Yin Zijie¹

Affiliation:

1. School of Electrical Engineering, Southwest Jiaotong University,Chengdu,P. R. China,611756

Funder

Central Universities

National Natural Science Foundation of China

Sichuan Science and Technology Program

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10165684/10165785/10165900.pdf?arnumber=10165900

Reference28 articles.

1. Deep Reinforcement Learning in Motion Planning of Mobile Robots;sun;Control and Decision,2021

2. Research on Indoor Goal Path Planning Based on Deep Reinforcement Learning;xiang;Guilin University of Electronic Technology,2019

3. Uav path planning based on DDPG;li;Journal of Ordnance Equipment Engineering,2020

4. Path Planning via an Improved DQN-Based Learning Policy

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1. An End-to-End Path Planner Combining Potential Field Method With Deep Reinforcement Learning;IEEE Sensors Journal;2024-08-15

2. Real-Time Conflict-Free Path Planning for Multi-AGVs Based on Deep Reinforcement Learning;2024 IEEE 13th Data Driven Control and Learning Systems Conference (DDCLS);2024-05-17

3. A Review of Brain-Inspired Cognition and Navigation Technology for Mobile Robots;Cyborg and Bionic Systems;2024-01

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