Items where Division is "Current Faculties > Faculty of Engineering and Physical Sciences > School of Electronics and Computer Science > Agents, Interaction and Complexity
School of Electronics and Computer Science > Agents, Interaction and Complexity" and Year is 2026
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Number of items: 12.
Article
Client-master multiagent deep reinforcement learning for task offloading in mobile edge computing - Tesfay Zemuy Gebrekidan, Sebastian Stein and Tim Norman
Type: Article
| 2026
Reporting guidelines for large language models in human-robot interaction - Cynthia Matuszek, Tom Williams, Nick Depalma, Ross Mead, Ruchen Wen, Eike Schneiders, Casey Kennington and Alemitu Bexabih
Type: Article
| 2026
Potential and pitfalls of audio as data for political research: alignment, features, and classification models - Rafael Mestre and Matt Ryan
Type: Article
| 2026
Type: Article
| 2026
Reinforcement learning for bond portfolio management: an actor-critic approach - Manuel Nunes, Enrico Gerding, Frank McGroarty and Mahesan Niranjan
Type: Article
| 2026
Book Section
Type: Book Section
| 2026
| Routledge
| Item not available on this server.
Conference or Workshop Item
The triad of identity, trust and responsibility in multi-agent systems - Jayati Deshmukh, Vahid Yazdanpanah, Sebastian Stein and Gopal Ramchurn
Type: Conference or Workshop Item
| 2026
EVMapSim: a network-level electric vehicle charging simulator - Prokopis Georgiou, Jayati Deshmukh, Vahid Yazdanpanah, Sebastian Stein and Enrico Gerding
Type: Conference or Workshop Item
| 2026
APOLLO: an open platform for LLM-based multi-agent interaction research - Abel Johny, Eike Schneiders and Jeremie Clos
Type: Conference or Workshop Item
| 2026
| Springer Nature
Monograph
Response to ‘Supercharging the EV transition’ - Andrew Cruden, Suleiman Sharkh, Sebastian Stein, Richard Wills, Ewan Fraser, Yazan Al-Wreikat, Amirhossein Khazali, Ezhilarasi Periyathambi, Bruno Arcanjo, Matthew Smith, Mobin Naderi, Maria Nunez Munoz, Andrew Hutchinson, George Hind, Tarokh Bahrdo, Fariba Dehghan, Taalia Nadeem, David Stone, Daniel Gladwin, Erica Ballantyne, Martin Foster, Chris Jones and Mona Chitnis
Type: Monograph
| 2026
| University of Southampton
Responsible AI UK response to the DSIT’s call for evidence on the AI Growth Lab - Gopal Ramchurn, Gina Neff, Isabela Parisio, Sarah Kiden, Athina Georgara, Simone Stumpf, Mark Wong, Siamak F. Shahandashti and Marios Aristodemou
Type: Monograph
| 2026
| University of Southampton
Dataset
Type: Dataset
| 2026
| University of Southampton
| Item availability restricted.