2 papers
cs.LG2026
Learning from Disagreement: Clinician Overrides as Implicit Preference Signals for Clinical AI in Value-Based Care
Prabhjot Singh, Abhishek Gupta, Chris Betz +4
We reframe clinician overrides of clinical AI recommendations as implicit preference data - the same signal structure exploited by reinforcement learning from human feedback (RLHF)…
cs.LG2026
Learning to Compress Time-to-Control: A Reinforcement Learning Framework for Chronic Disease Management
Prabhjot Singh, Abhishek Gupta, Chris Betz +4
Reinforcement learning (RL) in healthcare has had mixed results, with reward sparsity, unreliable off-policy evaluation, and deployment-simulation gap as recurring failure modes. W…