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20232026
most citedStable and Safe Human-aligned Reinforcement Learning through Neural Ordinary Differential Equations

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

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cs.LG2026

Safe Online Learning via Smooth Safety-Structured Policy Composition

Hongpeng Cao, Liqun Zhao, Yuliang Gu +3

Safe online reinforcement learning requires policies to respect safety constraints while maintaining smooth optimization dynamics. Existing approaches typically rely on either stri…

cs.LG2024★ 1 cited

Stable and Safe Human-aligned Reinforcement Learning through Neural Ordinary Differential Equations

Liqun Zhao, Keyan Miao, Konstantinos Gatsis +1

Reinforcement learning (RL) excels in applications such as video games, but ensuring safety as well as the ability to achieve the specified goals remains challenging when using RL…