activity
20202025
most citedMulti-Agent Reinforcement Learning and Human Social Factors in Climate Change Mitigation

3 citations · 6 across the 7 of their papers we have counts for

collaborators

7 papers

cs.AI2025

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…

cs.AI2023

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…

cs.AI2023★ 1 cited

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…

cs.CR2022★ 1 cited

Comprehension from Chaos: Towards Informed Consent for Private Computation

Bailey Kacsmar, Vasisht Duddu, Kyle Tilbury +2

Private computation, which includes techniques like multi-party computation and private query execution, holds great promise for enabling organizations to analyze data they and the…

cs.MA2022

Agents Incorporating Identity and Dynamic Teams in Social Dilemmas

Kyle Tilbury, Jesse Hoey

We present our preliminary work on a multi-agent system involving the complex human phenomena of identity and dynamic teams. We outline our ongoing experimentation into understandi…

cs.AI2020★ 1 cited

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…

cs.MA2020★ 3 cited

Multi-Agent Reinforcement Learning and Human Social Factors in Climate Change Mitigation

Kyle Tilbury, Jesse Hoey

Many complex real-world problems, such as climate change mitigation, are intertwined with human social factors. Climate change mitigation, a social dilemma made difficult by the in…