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Rei Sato

Researcher, LY Corporation

1 paper at NeurIPS 2025

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Poster Session 5

Friday, December 5, 2025 · 11:00 AM → 2:00 PM

Exhibit Hall C,D,E

A Provable Approach for End-to-End Safe Reinforcement Learning

#203 · Akifumi Wachi, Kohei Miyaguchi, Takumi Tanabe, Rei Sato, Youhei Akimoto

We propose a provable safe RL approach with end-to-end safety guarantee.