Mark Rucker
A little bit of this, a little bit of that
About
Projects
Papers
Posts
(Under Review) Self-Supervised, Subject-Aware Models for Predicting Receptivity...
(2025;DISS) A Passive Sensing Framework to Predict Social Context and Receptivity...
(2025) Wearable sensor-based multimodal physiological responses of...
(2024) A Resource Efficient System for On-Smartwatch Audio Processing
(2023) Understanding Privacy Risks versus Predictive Benefits...
(2023) Infinite action contextual bandits with reusable data exhaust
(2022) Eigen memory trees
(2022) Personalized reward learning with interaction-grounded learning
(2021) Inverse reinforcement learning for strategy identification
(2021) Reward shaping for human learning via inverse reinforcement learning
(2020) Addressing the risks and opportunities in ai-supported virtual health coaches
(2020) Mobile sensing: leveraging machine learning for efficient human behavior modeling
(2017) Agent-based model construction using inverse reinforcement learning
(2017) Discovery of behavioral markers of social anxiety from smartphone sensor data