2 papers
cs.LG2025
Optimizing Algorithms for Mobile Health Interventions with Active Querying Optimization
Aseel Rawashdeh
Reinforcement learning in mobile health (mHealth) interventions requires balancing intervention efficacy with user burden, particularly when state measurements (for example, user s…
cs.LG2025
Active Measuring in Reinforcement Learning With Delayed Negative Effects
Daiqi Gao, Ziping Xu, Aseel Rawashdeh +2
Measuring states in reinforcement learning (RL) can be costly in real-world settings and may negatively influence future outcomes. We introduce the Actively Observable Markov Decis…