A Comparison of Heuristic, Human-Sensitive, and Self-Play DRL Policies in Human–Agent Teaming
Published: 30 March 2026| Version 1 | DOI: 10.17632/y3d4b3z59j.1
Contributor:
Christopher LamDescription
This data repository contains data for the manuscript submitted for publication: bin Kamruddin, A., Lam, C., Patil, G., Musolesi, M., di Bernardo, M., & Richardson, M. J. (n.d.). A Comparison of Heuristic, Human-Sensitive, and Self-Play DRL Policies in Human–Agent Teaming.
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Institutions
- Macquarie UniversityNew South Wales, Sydney
- Scuola Superiore MeridionaleCampania, Naples
- University of Naples Federico IICampania, Naples
Categories
Human-Machine System
Funders
- Australian Department of Defence—Defence Science and Technology Group's Human Performance Research Network (HPRnet)
- Centre for Advanced Defence Research in Robotics and Autonomous Systems (CADR-RAS)
- Scuola Superiore Meridionale PhD Fellowship in Modelling and Engineering Risk and Complexity
- Australian Research Council Future FellowshipGrant ID: FT180100447