A Hybrid Reinforcement Learning Approach With a Spiking Actor Network for Efficient Robotic Arm Target Reaching-Reference-Cited by-同舟云学术

A Hybrid Reinforcement Learning Approach With a Spiking Actor Network for Efficient Robotic Arm Target Reaching

Published:2023-05 Issue:5 Volume:8 Page:3007-3014
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Oikonomou Katerina Maria¹^ORCID,Kansizoglou Ioannis¹^ORCID,Gasteratos Antonios¹^ORCID

Affiliation:

1. Department of Production and Management Engineering, Laboratory of Robotics and Automation, Democritus University of Thrace, Xanthi, Greece

Funder

Autonomous Robotic Unmanned Aerial Vehicle System for Navigation in Inaccessible Interior Spaces and Human Detection - MIDRES

Study, Design, Development and Implementation of a Holistic System for Upgrading the Quality of Life and Activity of the Elderly

European Commission

Greek National funds

Support for Regional Excellence

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/ielx7/7083369/10073596/10092938.pdf?arnumber=10092938

Reference34 articles.

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3. Maximum Likelihood Estimation of a Stochastic Integrate-and-Fire Neural Encoding Model

4. A history of spike-timing-dependent plasticity

5. Spike Timing–Dependent Plasticity: A Hebbian Learning Rule

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