6 papers
Coordination Matters: Evaluation of Cooperative Multi-Agent Reinforcement Learning
Maria Ana Cardei, Matthew Landers, Afsaneh Doryab
Cooperative multi-agent reinforcement learning (MARL) benchmarks commonly emphasize aggregate outcomes such as return, success rate, or completion time. While essential, these metr…
DM-Bench: Benchmarking LLMs for Personalized Decision Making in Diabetes Management
Maria Ana Cardei, Josephine Lamp, Mark Derdzinski +1
We present DM-Bench, the first benchmark designed to evaluate large language model (LLM) performance across real-world decision-making tasks faced by individuals managing diabetes…
Towards an Accessible, Noninvasive Micronutrient Status Assessment Method: A Comprehensive Review of Existing Techniques
Andrew Balch, Maria A. Cardei, Sibylle Kranz +1
Nutrients are critical to the functioning of the human body and their imbalance can result in detrimental health concerns. The majority of nutritional literature focuses on macronu…
Factorized Deep Q-Network for Cooperative Multi-Agent Reinforcement Learning in Victim Tagging
Maria Ana Cardei, Afsaneh Doryab
Mass casualty incidents (MCIs) are a growing concern, characterized by complexity and uncertainty that demand adaptive decision-making strategies. The victim tagging step in the em…
Pairwise Spatiotemporal Partial Trajectory Matching for Co-movement Analysis
Maria Cardei, Sabit Ahmed, Gretchen Chapman +1
Spatiotemporal pairwise movement analysis involves identifying shared geographic-based behaviors between individuals within specific time frames. Traditionally, this task relies on…
Exploring Smartphone-based Spectrophotometry for Nutrient Identification and Quantification
Andrew Balch, Maria A. Cardei, Afsaneh Doryab
Imbalanced nutrition is a global health issue with significant downstream effects. Current methods of assessing nutrient levels face several limitations, with accessibility being a…