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Seq2event: Learning the language of soccer using transformer-based match event prediction
Soccer is a sport characterised by open and dynamic play, with player actions and roles
aligned according to team strategies simultaneously and at multiple temporal scales with …
aligned according to team strategies simultaneously and at multiple temporal scales with …
Inferring player location in sports matches: Multi-agent spatial imputation from limited observations
Understanding agent behaviour in Multi-Agent Systems (MAS) is an important problem in
domains such as autonomous driving, disaster response, and sports analytics. Existing MAS …
domains such as autonomous driving, disaster response, and sports analytics. Existing MAS …
The Strain of Success: A Predictive Model for Injury Risk Mitigation and Team Success in Soccer
In this paper, we present a novel sequential team selection model in soccer. Specifically, we
model the stochastic process of player injury and unavailability using player-specific …
model the stochastic process of player injury and unavailability using player-specific …
Computing an optimal pitching strategy in a baseball at-bat
The field of quantitative analytics has transformed the world of sports over the last decade.
To date, these analytic approaches are statistical at their core, characterizing what is and …
To date, these analytic approaches are statistical at their core, characterizing what is and …
Artificial intelligence in team sports
RJ Beal - 2022 - eprints.soton.ac.uk
The Sports Analytics Market is growing rapidly, in 2020 it was valued at over $1 billion and is
expected to reach over $5 billion by 2026. However, even with this level of growth the use of …
expected to reach over $5 billion by 2026. However, even with this level of growth the use of …
Two-stage reward allocation with decay for multi-agent coordinated behavior for sequential cooperative task by using deep reinforcement learning
Y Miyashita, T Sugawara - Autonomous Intelligent Systems, 2022 - Springer
We propose a two-stage reward allocation method with decay using an extension of replay
memory to adapt this rewarding method for deep reinforcement learning (DRL), to generate …
memory to adapt this rewarding method for deep reinforcement learning (DRL), to generate …