Changgang Zheng
Reward-Reinforced Reinforcement Learning for Multi-agent Systems
Zheng, Changgang; Yang, Shufan; Ullauri, Juan Marcelo Parra; García-Domínguez, Antonio; Bencomo, Nelly
Authors
Shufan Yang
Juan Marcelo Parra Ullauri
Antonio García-Domínguez
Dr Nelly Bencomo nelly.bencomo@durham.ac.uk
Associate Professor
Citation
Zheng, C., Yang, S., Ullauri, J. M. P., García-Domínguez, A., & Bencomo, N. (2021). Reward-Reinforced Reinforcement Learning for Multi-agent Systems. CoRR - Computing Research Repository, abs/2103.12192,
| Journal Article Type | Article |
|---|---|
| Publication Date | 2021 |
| Deposit Date | Sep 25, 2022 |
| Journal | CoRR |
| Electronic ISSN | 2331-8422 |
| Volume | abs/2103.12192 |
| Public URL | https://durham-repository.worktribe.com/output/1190826 |
| Publisher URL | https://arxiv.org/abs/2103.12192 |
You might also like
Model‐Driven Engineering for Digital Twins: Opportunities and Challenges
(2025)
Journal Article
Surprise! Surprise! Learn and Adapt
(2024)
Presentation / Conference Contribution
Beyond Syntax: How Do LLMs Understand Code?
(2024)
Presentation / Conference Contribution
Declarative Lifecycle Management in Digital Twins
(2024)
Presentation / Conference Contribution
Code Gradients: Towards Automated Traceability of LLM-Generated Code
(2024)
Presentation / Conference Contribution
Downloadable Citations
About Durham Research Online (DRO)
Administrator e-mail: dro.admin@durham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search