Author

Chenhua Fan

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Preprint Aug 2026

Boundary-Seeking Policy Gradient for Safe Reinforcement Learning

This work introduces Boundary-Seeking Policy Gradient (BSPG), a first-order method whose update combines a tangential component that improves reward while preserving cost to first order with a signed, residual-driven normal component that regulates the policy toward the active boundary from either side.

Chenhua Fan, Jiahui Zhu, Yuhang Zhang et al. · 0 citations