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Handling Realistic Noise in Multi-Agent Systems with Self-Supervised Learning and Curiosity Cover

Handling Realistic Noise in Multi-Agent Systems with Self-Supervised Learning and Curiosity

Journal of Artificial Intelligence and Soft Computing Research
Volume 12 (2022): Issue 2 (April 2022)
By: Márton Szemenyei and  Patrik Reizinger  
Open Access
|Feb 2022
Authors

Authors

Márton Szemenyei

szemenyei.marton@vik.bme.hu

Department of Control Engineering and Information Technology, Budapest University of Technology and Economics

Patrik Reizinger

Department of Control Engineering and Information Technology, Budapest University of Technology and Economics
DOI: https://doi.org/10.2478/jaiscr-2022-0009
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Language: English
Page range: 135 - 148
Submitted on: Sep 27, 2021
Accepted on: Dec 18, 2021
Published on: Feb 23, 2022
Published by: SAN University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
deep reinforcement learning,
multi-agent environment,
autonomous driving,
robot soccer,
self-supervised learning
Related subjects:
Computer sciences,
Databases and data mining,
Artificial intelligence

© 2022 Márton Szemenyei, Patrik Reizinger, published by SAN University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 12 (2022): Issue 2 (April 2022)
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