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cs.LG2026
Patient-Centered Treatment Planning for Chronic Multimorbidity: A Hierarchical Reinforcement Learning Framework for Preference Modeling
Nafiseh Payani, Soham Das, G. Anthony Wilson +1
Patient preference, defined as a patient's demonstrated willingness and capacity to adhere to clinical recommendations, is a primary determinant of therapeutic effect yet remains s…
cs.AI2026
Learning to Harvest Without Collapse in a Regenerative Commons: A Lagrangian Framework
Jose Tupayachi, Xueping Li, Soham Das
The tragedy of the commons poses a multi-agent safety problem: reward-seeking agents can deplete a shared resource, and cooperation among its users does not itself specify how much…
cs.GT2026
Algorithmic Asymmetry in Zero-Sum Games: Unilateral Recovery of Fast Convergence Against a Slow Opponent
James P. Bailey, Soham Das
Learning dynamics in zero-sum games are typically analyzed under algorithmic symmetry: both agents use the same update rule, or methods from a common algorithmic family. This is at…