Tim Brecht
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View article: Puck Possessions and Team Success in the NHL
Puck Possessions and Team Success in the NHL Open
This paper investigates the relationship between puck possession and team success in the NHL, focusing on the games played during the 2023-2024 regular season (up to the All-Star break). The analysis first reveals a moderate correlation (r…
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: 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: Quantifying Cloud Performance and Dependability
Quantifying Cloud Performance and Dependability Open
In only a decade, cloud computing has emerged from a pursuit for a service-driven information and communication technology (ICT), becoming a significant fraction of the ICT market. Responding to the growth of the market, many alternative c…