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20222026
most citedPolicy Optimization with Advantage Regularization for Long-Term Fairness in Decision Systems

2 citations · 6 across the 9 of their papers we have counts for

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eess.SY2025

Estimating Control Barriers from Offline Data

Hongzhan Yu, Seth Farrell, Ryo Yoshimitsu +3

Learning-based methods for constructing control barrier functions (CBFs) are gaining popularity for ensuring safe robot control. A major limitation of existing methods is their rel…

eess.SY2024★ 2 cited

SEEV: Synthesis with Efficient Exact Verification for ReLU Neural Barrier Functions

Hongchao Zhang, Zhizhen Qin, Sicun Gao +1

Neural Control Barrier Functions (NCBFs) have shown significant promise in enforcing safety constraints on nonlinear autonomous systems. State-of-the-art exact approaches to verify…