Items where Division is "Current Faculties > Faculty of Engineering and Physical Sciences > School of Electronics and Computer Science > MINDS CDT
School of Electronics and Computer Science > MINDS CDT" and Year is 2024
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Number of items: 18.
The effect of predictive formal modelling at runtime on performance in human-swarm interaction - Ayodeji O. Abioye, William Hunt, Yue Gu, Eike Schneiders, Mohammad Naiseh, Joel E. Fischer, Sarvapali D. Ramchurn, Mohammad D. Soorati, Blair Archibald and Michele Sevegnani
Type: Conference or Workshop Item
| 2024
| Association for Computing Machinery
Evolutionary data subset selection for class-Incremental learning on memory-constrained systems - Epifanios Baikas, Danesh Tarapore and David Thomas
Type: Conference or Workshop Item
| 2024
| Item availability restricted.
Ethical alignment in citizen-centric AI - Jayati Deshmukh, Vahid Yazdanpanah, Sebastian Stein and Timothy Norman
Type: Conference or Workshop Item
| 2024
Source detection and tracking for underwater distributed acoustic sensing - Konstantinos Theofilos Drylerakis, Mohammad Belal, Rafael Mestre, Timothy J. Norman and Christine Evers
Type: Conference or Workshop Item
| 2024
Probabilistic methods for improved self-consistency of Doppler Velocity Log range-based bathymetry - Sam Fenton, Blair Thornton, Christine Currie, Christine Evers, Adam Prugel-Bennett, Matthew Grove and Darryl Newborough
Type: Conference or Workshop Item
| 2024
Combinatorial client-master multiagent deep reinforcement learning for task offloading in mobile edge computing: extended abstract - Tesfay Zemuy Gebrekidan, Sebastian Stein and Tim Norman
Type: Conference or Workshop Item
| 2024
| International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
Deep reinforcement learning with coalition action selection for online combinatorial resource allocation with arbitrary action space - Tesfay Zemuy Gebrekidan, Sebastian Stein and Timothy J. Norman
Type: Conference or Workshop Item
| 2024
Open RL benchmark: comprehensive tracked experiments for reinforcement learning - Shengyi Huang, Quentin Gallouédec, Florian Felten, Antonin Raffin, Rousslan Fernand Julien Dossa, Yanxiao Zhao, Ryan Sullivan, Viktor Makoviychuk, Denys Makoviichuk, Mohamad H. Danesh, Cyril Roumégous, Jiayi Weng, Chufan Chen, Md Masudur Rahman, João G.M. Araújo, Guorui Quan, Daniel Tan, Timo Klein, Rujikorn Charakorn, Mark Towers, Yann Berthelot, Kinal Mehta, Dipam Chakraborty, KG Arjun, Valentin Charraut, Chang Ye, Zichen Liu, Lucas N. Alegre, Alexander Nikulin, Xiao Hu, Tianlin Liu, Jongwook Choi and Brent Yi
Type: UNSPECIFIED
| 2024
| arXiv
Conversational language models for human-in-the-loop multi-robot coordination - William Hunt, Toby Matthew Alfie Godfrey and Mohammad Soorati
Type: Conference or Workshop Item
| 2024
| International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
Using contextual reinforcement learning to design FANET defence protocols to combat grey hole attacks - Charles Hutchins
Type: Conference or Workshop Item
| 2024
| IEEE
| Item availability restricted.
Speaking your language: spatial relationships in interpretable emergent communication - Olaf Lipinski, Adam Sobey, Federico Cerutti and Tim Norman
Type: Conference or Workshop Item
| 2024
| Item not available on this server.
Extraction and summarization of suicidal ideation evidence in social media content using large language models - Gyanendro Loitongbam, Junyu Mao, Rudra Mutalik and Stuart E. Middleton
Type: Conference or Workshop Item
| 2024
| Item not available on this server.
Efficient design of complex-valued neural networks with application to the classification of transient acoustic signals - Vlad S. Paul and Philip A. Nelson
Type: Article
| 2024
Strengthened Circle and Popov Criteria and the analysis of ReLU neural networks - Carl R. Richardson, Matthew C. Turner and Steve R. Gunn
Type: Conference or Workshop Item
| 2024
| IEEE
| Item availability restricted.
Strengthened stability analysis of discrete-time Lurie systems involving ReLU neural networks - Carl R. Richardson, Matthew C. Turner and Steve R. Gunn
Type: Conference or Workshop Item
| 2024
| PMLR
Enabling trustworthiness in human-swarm systems through a digital twin - Mohammad D. Soorati, Mohammad Naiseh, William Hunt, Katie Parnell, Jediah Clark and Sarvapali D. Ramchurn
Type: Book Section
| 2024
| Academic Press
| Item not available on this server.
Explaining an agent’s future beliefs through temporally decomposing future reward estimators - Mark Towers, Yali Du, Chris Freeman and Tim Norman
Type: Conference or Workshop Item
| 2024
| IOS Press
Gymnasium: a standard interface for reinforcement learning environments - Mark Towers, Ariel Kwiatkowski, Jordan Terry, John U. Balis, Gianluca De Cola, Tristan Deleu, Manuel Goulão, Andreas Kallinteris, Markus Krimmel, K.G. Arjun, Rodrigo Perez-Vicente, Andrea Pierré, Sander Schulhoff, Jun Jet Tai, Hannah Tan and Omar G. Younis
Type: UNSPECIFIED
| 2024
| arXiv