Search Results for author: Ryan Beal

Found 6 papers, 2 papers with code

What Happened Next? Using Deep Learning to Value Defensive Actions in Football Event-Data

no code implementations3 Jun 2021 Charbel Merhej, Ryan Beal, Sarvapali Ramchurn, Tim Matthews

Objectively quantifying the value of player actions in football (soccer) is a challenging problem.

Optimising Long-Term Outcomes using Real-World Fluent Objectives: An Application to Football

no code implementations18 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.

Decision Making

Combining Machine Learning and Human Experts to Predict Match Outcomes in Football: A Baseline Model

no code implementations8 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).

BIG-bench Machine Learning

Optimising Game Tactics for Football

no code implementations23 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).

Decision Making Game of Football

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