248 citations · 416 across the 27 of their papers we have counts for
4 papers · 1 filter
What Happened Next? Using Deep Learning to Value Defensive Actions in Football Event-Data
Charbel Merhej, Ryan Beal, Sarvapali Ramchurn +1
Objectively quantifying the value of player actions in football (soccer) is a challenging problem. To date, studies in football analytics have mainly focused on the attacking side…
Large-scale, Dynamic and Distributed Coalition Formation with Spatial and Temporal Constraints
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…
Multi-Agent Routing and Scheduling Through Coalition Formation
Luca Capezzuto, Danesh Tarapore, Sarvapali D. Ramchurn
In task allocation for real-time domains, such as disaster response, a limited number of agents is deployed across a large area to carry out numerous tasks, each with its prerequis…
Optimising Long-Term Outcomes using Real-World Fluent Objectives: An Application to Football
Ryan Beal, Georgios Chalkiadakis, Timothy J. Norman +1
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 acro…