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cs.AI2024
Risk-Aware Alignment Must Incorporate Reward Uncertainty
Debangshu Banerjee, Aditya Gopalan, Kintan Saha
We consider the problem of policy optimization with noisy rewards, where the policy is constrained to be in the neighborhood of a reference policy.We study the risk of the policy o…
cs.LG2024
Testing the Feasibility of Linear Programs with Bandit Feedback
Aditya Gangrade, Aditya Gopalan, Venkatesh Saligrama +1
While the recent literature has seen a surge in the study of constrained bandit problems, all existing methods for these begin by assuming the feasibility of the underlying problem…