no code implementations • 12 Sep 2024 • Oliver Grainge, Michael Milford, Indu Bodala, Sarvapali D. Ramchurn, Shoaib Ehsan
Visual Place Recognition (VPR) is fundamental for the global re-localization of robots and devices, enabling them to recognize previously visited locations based on visual inputs.
1 code implementation • 7 Feb 2024 • Gregory Everett, Ryan Beal, Tim Matthews, Timothy J. Norman, Sarvapali D. Ramchurn
In this paper, we present a novel sequential team selection model in soccer.
no code implementations • 14 Dec 2023 • Oliver Grainge, Michael Milford, Indu Bodala, Sarvapali D. Ramchurn, Shoaib Ehsan
This has resulted in methods that use deep learning models too large to deploy on low powered edge devices.
no code implementations • 13 Feb 2023 • Gregory Everett, Ryan J. Beal, Tim Matthews, Joseph Early, Timothy J. Norman, Sarvapali D. Ramchurn
By imputing player locations from easy to obtain event data, we increase the accessibility of downstream tasks.
no code implementations • 5 Oct 2022 • Mohammad Divband Soorati, Enrico H. Gerding, Enrico Marchioni, Pavel Naumov, Timothy J. Norman, Sarvapali D. Ramchurn, Bahar Rastegari, Adam Sobey, Sebastian Stein, Danesh Tarpore, Vahid Yazdanpanah, Jie Zhang
The Agents, Interaction and Complexity research group at the University of Southampton has a long track record of research in multiagent systems (MAS).
no code implementations • 4 Feb 2022 • Mohammad Naiseh, Caitlin Bentley, Sarvapali D. Ramchurn
Recent advances in artificial intelligence, specifically machine learning, contributed positively to enhancing the autonomous systems industry, along with introducing social, technical, legal and ethical challenges to make them trustworthy.
no code implementations • 1 Jun 2021 • Luca Capezzuto, Danesh Tarapore, Sarvapali D. Ramchurn
The Coalition Formation with Spatial and Temporal constraints Problem (CFSTP) is a multi-agent task allocation problem in which few agents have to perform many tasks, each with its deadline and workload.
no code implementations • 2 May 2021 • Luca Capezzuto, Danesh Tarapore, Sarvapali D. Ramchurn
Our results constitute the first large-scale benchmark for the MARSC problem.
no code implementations • 18 Feb 2021 • Ryan Beal, Georgios Chalkiadakis, Timothy J. Norman, Sarvapali D. Ramchurn
In this paper, we present a novel approach for optimising long-term tactical and strategic decision-making in football (soccer) by encapsulating events in a league environment across a given time frame.
no code implementations • 8 Dec 2020 • Ryan Beal, Stuart E. Middleton, Timothy J. Norman, Sarvapali D. Ramchurn
In this paper, we present a new application-focused benchmark dataset and results from a set of baseline Natural Language Processing and Machine Learning models for prediction of match outcomes for games of football (soccer).
no code implementations • 30 Mar 2020 • Luca Capezzuto, Danesh Tarapore, Sarvapali D. Ramchurn
Since we cannot eliminate the limitations of CFLA in CFLA2, we also develop a novel algorithm to solve the CFSTP, the first to be anytime, efficient and with provable guarantees, called Cluster-based Coalition Formation (CCF).
no code implementations • 23 Mar 2020 • Ryan Beal, Georgios Chalkiadakis, Timothy J. Norman, Sarvapali D. Ramchurn
In this paper we present a novel approach to optimise tactical and strategic decision making in football (soccer).
1 code implementation • 13 Dec 2016 • Filippo Bistaffa, Alessandro Farinelli, Jesús Cerquides, Juan A. Rodríguez-Aguilar, Sarvapali D. Ramchurn
In this paper, we focus on a special case of coalition formation known as Graph-Constrained Coalition Formation (GCCF) whereby a network connecting the agents constrains the formation of coalitions.
no code implementations • 17 Sep 2015 • Dengji Zhao, Sarvapali D. Ramchurn, Nicholas R. Jennings
We study a general task allocation problem, involving multiple agents that collaboratively accomplish tasks and where agents may fail to successfully complete the tasks assigned to them (known as execution uncertainty).