David Radke

David Radke
University of Waterloo | UWaterloo · David R. Cheriton School of Computer Science

Doctor of Philosophy

About

8
Publications
2,425
Reads
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47
Citations
Citations since 2016
8 Research Items
47 Citations
20162017201820192020202120220510152025
20162017201820192020202120220510152025
20162017201820192020202120220510152025
20162017201820192020202120220510152025

Publications

Publications (8)
Conference Paper
For problems requiring cooperation, many multiagent systems implement solutions among either individual agents or across an entire population towards a common goal. Multiagent teams are primarily studied when in conflict; however, organizational psychology (OP) highlights the benefits of teams among human populations for learning how to coordinate...
Conference Paper
Full-text available
The implementation of a puck and player tracking (PPT) system in the National Hockey League (NHL) provides significant opportunities to utilize high-resolution spatial and temporal data for advanced hockey analytics. In this paper, we develop a technique to classify pass types in the tracking data as either Direct, 1-bank, or Rim passes. We also ad...
Preprint
Full-text available
For problems requiring cooperation, many multiagent systems implement solutions among either individual agents or across an entire population towards a common goal. Multiagent teams are primarily studied when in conflict; however, organizational psychology (OP) highlights the benefits of teams among human populations for learning how to coordinate...
Preprint
Full-text available
We propose a model for multi-objective optimization, a credo, for agents in a system that are configured into multiple groups (i.e., teams). Our model of credo regulates how agents optimize their behavior for the component groups they belong to. We evaluate credo in the context of challenging social dilemmas with reinforcement learning agents. Our...
Conference Paper
Full-text available
Advancements in player tracking technology and analytics have revolutionized how professional sports are managed, played, and even consumed. However, these tracking systems have mainly failed to translate to ice rinks, leaving ice hockey to collect relatively coarse and offensively-biased data for player statistics. As a result, current artificial...
Conference Paper
Full-text available
Latencies, operating ranges, and false positive rates for existing indoor fire detection systems like smoke detectors and sprinkler systems are far from ideal. This paper explores the use of wireless radio frequency (RF) signals to detect indoor fires with low latency, through walls and other occlusions. We build on past research fo-cused on wirele...
Article
Full-text available
Measuring and monitoring the height of vegetation provides important insights into forest age and habitat quality. These are essential for the accuracy of applications that are highly reliant on up-to-date and accurate vegetation data. Current vegetation sensing practices involve ground survey, photogrammetry, synthetic aperture radar (SAR), and ai...
Conference Paper
Full-text available
Destructive wildfires result in billions of dollars in damage each year and are expected to increase in frequency, duration, and severity due to climate change. The current state-of-the-art wildfire spread models rely on mathematical growth predictions and physics-based models, which are difficult and computationally expensive to run. We present an...

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