Tim Brecht

The Importance of Credo in Multiagent Learning

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...

Towards a Better Understanding of Learning with Multiagent Teams

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...

CAN Radar: Sensing Physical Devices in CAN Networks based on Time Domain Reflectometry

The presence of security vulnerabilities in automotive networks has already been shown by various publications in recent years. Due to the specification of the Controller Area Network (CAN) as a...

ParaWeb: towards world-wide supercomputing

Examining Relationships Between 802.11n Physical Layer Transmission Feature Combinations

NeuRA: Using Neural Networks to Improve WiFi Rate Adaptation

PNOFA: Practical, Near-Optimal Frame Aggregation for Modern 802.11 Networks

T-SIMn: Towards the High Fidelity Trace-Based Simulation of 802.11n Networks

Exploiting dynamic proxies in middleware for distributed, parallel, and mobile Java applications

Babylon v2.0: middleware for distributed, parallel, and mobile Java applications

Can Future Wireless Networks Detect Fires?

Puck and Player Tracking: Challenges and Opportunities

Identifying Completed Pass Types and Improving Passing Lane Models

Analyzing Passing Metrics in Ice Hockey using Puck and Player Tracking Data

Individual Puck Possessions Part I: Frequency, Duration, and Distance Travelled

Individual Puck Possessions Part II: Speed Bursts and Possession Times within Teams

Position Paper: New Views of Shots - Towards Measures of Net Visibility and Reachability

Puck Possessions and Team Success in the NHL