17 citations · 20 across the 6 of their papers we have counts for
6 papers
Generating synthetic electronic health record data using agent-based models to evaluate machine learning robustness under mass casualty incidents
Roben Delos Reyes, Daniel Capurro, Nicholas Geard
ML models in healthcare are typically evaluated using curated real-world EHR data. A key limitation of such evaluations is that they may fail to assess the robustness of ML models…
LLM-based uncertainty assessment of social media situational signals for crisis reporting
Timothy Douglas, Roben Delos Reyes, Asanobu Kitamoto
Social media has become a critical source of situational awareness during disasters, providing real-time insights into evolving impacts and emerging needs. To support crisis respon…
Design and evaluation of an agentic workflow for crisis-related synthetic tweet datasets
Roben Delos Reyes, Timothy Douglas, Asanobu Kitamoto
Twitter (now X) has become an important source of social media data for situational awareness during crises. Crisis informatics research has widely used tweets from Twitter to deve…
A microsimulation model of behaviour change calibrated to reversal learning data
Roben Delos Reyes, Hugo Lyons Keenan, Cameron Zachreson
Behaviour change lies at the heart of many observable collective phenomena such as the transmission and control of infectious diseases, adoption of public health policies, and migr…
Curiosity-Driven Multi-Agent Exploration with Mixed Objectives
Roben Delos Reyes, Kyunghwan Son, Jinhwan Jung +2
Intrinsic rewards have been increasingly used to mitigate the sparse reward problem in single-agent reinforcement learning. These intrinsic rewards encourage the agent to look for…
QTRAN++: Improved Value Transformation for Cooperative Multi-Agent Reinforcement Learning
Kyunghwan Son, Sungsoo Ahn, Roben Delos Reyes +2
QTRAN is a multi-agent reinforcement learning (MARL) algorithm capable of learning the largest class of joint-action value functions up to date. However, despite its strong theoret…