David Radke
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View article: Analyzing Passing Metrics in Ice Hockey using Puck and Player Tracking Data
Analyzing Passing Metrics in Ice Hockey using Puck and Player Tracking Data Open
Traditional ice hockey statistics are inherently biased towards offensive events like goals, assists, and shots. However, successful teams in ice hockey require players with skills that may not be captured using traditional measures of per…
View article: Towards a Better Understanding of Learning with Multiagent Teams
Towards a Better Understanding of Learning with Multiagent Teams Open
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 more effective than smaller ones. In this paper, we study why…
View article: Towards a Better Understanding of Learning with Multiagent Teams
Towards a Better Understanding of Learning with Multiagent Teams Open
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 more effective than smaller ones. In this paper, we study why…
View article: An Analysis of Engineering Students’ Responses to an AI Ethics Scenario
An Analysis of Engineering Students’ Responses to an AI Ethics Scenario Open
In light of significant issues in the technology industry, such as algorithms that worsen racial biases, the spread of online misinformation, and the expansion of mass surveillance, it is increasingly important to teach the ethics and soci…
View article: Learning to Learn Group Alignment: A Self-Tuning Credo Framework with Multiagent Teams
Learning to Learn Group Alignment: A Self-Tuning Credo Framework with Multiagent Teams Open
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 team structure is a difficult and dynamic problem. We propo…
View article: Presenting Multiagent Challenges in Team Sports Analytics
Presenting Multiagent Challenges in Team Sports Analytics Open
This paper draws correlations between several challenges and opportunities within the area of team sports analytics and key research areas within multiagent systems (MAS). We specifically consider invasion games, defined as sports where pl…
View article: Exploring the Benefits of Teams in Multiagent Learning
Exploring the Benefits of Teams in Multiagent Learning Open
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, organiza…
View article: Exploring the Benefits of Teams in Multiagent Learning
Exploring the Benefits of Teams in Multiagent Learning Open
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, organiza…
View article: The Importance of Credo in Multiagent Learning
The Importance of Credo in Multiagent Learning Open
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 groups they belong to. We …
View article: Beyond Measurement: Extracting Vegetation Height from High Resolution Imagery with Deep Learning
Beyond Measurement: Extracting Vegetation Height from High Resolution Imagery with Deep Learning Open
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. Cur…