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cs.LG2023★ 1 cited
Strategic Classification under Unknown Personalized Manipulation
Han Shao, Avrim Blum, Omar Montasser
We study the fundamental mistake bound and sample complexity in the strategic classification, where agents can strategically manipulate their feature vector up to an extent in orde…
cs.LG2023
Eliciting User Preferences for Personalized Multi-Objective Decision Making through Comparative Feedback
Han Shao, Lee Cohen, Avrim Blum +3
In classic reinforcement learning (RL) and decision making problems, policies are evaluated with respect to a scalar reward function, and all optimal policies are the same with reg…