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Author

Honghao Wei

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Preprint Oct 2026

Rate-Optimal Algorithm for Adversarial Linear CMDPs

We study episodic adversarial linear constrained Markov decision processes (CMDPs) with unknown transitions, where both the loss and constraint functions may vary adversarially across episodes. The best previous algorithm achieves $\widetilde{\mathcal{O}}(K^{3/4})$ regret and cumulative constraint violation, leaving a...

Kihyun Yu, Hong-Hao Wei, Dabeen Lee · 0 citations
#machine learning Preprint Oct 2026

Rate-Optimal Algorithm for Adversarial Linear CMDPs

We study episodic adversarial linear constrained Markov decision processes (CMDPs) with unknown transitions, where both the loss and constraint functions may vary adversarially across episodes. The best previous algorithm achieves $\widetilde{\mathcal{O}}(K^{3/4})$ regret and cumulative constraint violation, leaving a...

Kihyun Yu, Hong-Hao Wei, Dabeen Lee · 0 citations
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

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