activity
20182026
most citedExtraction of Behavioral Features from Smartphone and Wearable Data

8 citations · 15 across the 14 of their papers we have counts for

collaborators

16 papers

cs.MA2026

Coordination Matters: Process-Aware 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…

cs.LG2026

Improving and Accelerating Offline RL in Large Discrete Action Spaces with Structured Policy Initialization

Matthew Landers, Taylor W. Killian, Thomas Hartvigsen +1

Reinforcement learning in discrete combinatorial action spaces requires searching over exponentially many joint actions to simultaneously select multiple sub-actions that form cohe…

cs.LG2025

SAINT: Attention-Based Policies for Discrete Combinatorial Action Spaces

Matthew Landers, Taylor W. Killian, Thomas Hartvigsen +1

The combinatorial structure of many real-world action spaces leads to exponential growth in the number of possible actions, limiting the effectiveness of conventional reinforcement…

cs.MA2025

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…

cs.CV2024

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…

physics.med-ph2024

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…