2 papers
cs.LG2026
Infra-Bayesian Reinforcement Learning Agents Outperform Classical RL For Worst-Case Robustness
Manish Aryal, Faiyaz Azam, Agnivo Banerjee +13
Classical reinforcement learning assumes the agent interacts with a fixed environment whose behavior does not depend on the agent's policy. This assumption breaks down in non-reali…
cs.CR2025
Private Selection with Heterogeneous Sensitivities
Daniela Antonova, Allegra Laro, Audra McMillan +1
Differentially private (DP) selection involves choosing a high-scoring candidate from a finite candidate pool, where each score depends on a sensitive dataset. This problem arises…