David Radke

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 15

Top Topics

Multiagent Learning

Learning Agents

Team Composition

Top Venues

Publications

David Radke, Kate Larson, Tim Brecht, Kyle Tilbury
Towards a Better Understanding of Learning with Multiagent Teams. CoRR (2023)
David Radke, Alexi Orchard
Presenting Multiagent Challenges in Team Sports Analytics. CoRR (2023)
David Radke, Kate Larson, Tim Brecht
The Importance of Credo in Multiagent Learning. AAMAS (2023)
David Radke, Jaxin Lu, Jackson Woloschuk, Tin Le, Daniel Radke, Charlie Liu, Tim Brecht
Analyzing Passing Metrics in Ice Hockey using Puck and Player Tracking Data. LINHAC (2023)
Alexi Orchard, David Radke
An Analysis of Engineering Students' Responses to an AI Ethics Scenario. AAAI (2023)
David Radke, Kate Larson, Tim Brecht, Kyle Tilbury
Towards a Better Understanding of Learning with Multiagent Teams. IJCAI (2023)
David Radke, Alexi Orchard
Presenting Multiagent Challenges in Team Sports Analytics. AAMAS (2023)
David Radke, Kyle Tilbury
Learning to Learn Group Alignment: A Self-Tuning Credo Framework with Multiagent Teams. CoRR (2023)
David Radke, Kate Larson, Tim Brecht
Exploring the Benefits of Teams in Multiagent Learning. IJCAI (2022)
David Radke, Kate Larson, Tim Brecht
The Importance of Credo in Multiagent Learning. CoRR (2022)
David Radke, Kate Larson, Tim Brecht
Exploring the Benefits of Teams in Multiagent Learning. CoRR (2022)
David Radke, Tim Brecht, Daniel Radke
Identifying Completed Pass Types and Improving Passing Lane Models. LINHAC (2022)
David Radke, Omid Abari, Tim Brecht, Kate Larson
Can Future Wireless Networks Detect Fires? BuildSys@SenSys (2020)
David Radke, Daniel Radke, John Radke
Beyond Measurement: Extracting Vegetation Height from High Resolution Imagery with Deep Learning. Remote. Sens. 12 (22) (2020)
David Radke, Anna Hessler, Dan Ellsworth
FireCast: Leveraging Deep Learning to Predict Wildfire Spread. IJCAI (2019)