3 citations · 6 across the 7 of their papers we have counts for
4 papers · 1 filter
Simulating Tracking Data to Advance Sports Analytics Research
David Radke, Kyle Tilbury
Advanced analytics have transformed how sports teams operate, particularly in episodic sports like baseball. Their impact on continuous invasion sports, such as soccer and ice hock…
Towards a Better Understanding of Learning with Multiagent Teams
David Radke, Kate Larson, Tim Brecht +1
While it has long been recognized that a team of individual learning agents can be greater than the sum of its parts, recent work has shown that larger teams are not necessarily mo…
Learning to Learn Group Alignment: A Self-Tuning Credo Framework with Multiagent Teams
David Radke, Kyle Tilbury
Mixed incentives among a population with multiagent teams has been shown to have advantages over a fully cooperative system; however, discovering the best mixture of incentives or…
The Human Effect Requires Affect: Addressing Social-Psychological Factors of Climate Change with Machine Learning
Kyle Tilbury, Jesse Hoey
Machine learning has the potential to aid in mitigating the human effects of climate change. Previous applications of machine learning to tackle the human effects in climate change…