Source Term Estimation Using Deep Reinforcement Learning With Gaussian Mixture Model Feature Extraction for Mobile Sensors-Reference-Cited by-同舟云学术

Source Term Estimation Using Deep Reinforcement Learning With Gaussian Mixture Model Feature Extraction for Mobile Sensors

Published:2022-07 Issue:3 Volume:7 Page:8323-8330
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Park Minkyu¹^ORCID,Ladosz Pawel¹^ORCID,Oh Hyondong¹^ORCID

Affiliation:

1. Department of Mechanical Engineering, Ulsan National Institute of Science and Technology, Ulsan, South Korea

Funder

Basic Science Research Program

National Research Foundation of Korea

Ministry of Education

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/7083369/9750005/09802788.pdf?arnumber=9802788

Reference20 articles.

1. Human-level control through deep reinforcement learning;mnih;Nature,2015

2. Deep Reinforcement Learning: A Brief Survey

3. A study of cognitive strategies for an autonomous search

4. Probability and Random Processes for Electrical and Computer Engineers

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