activity
20222026
most citedEnforcing Hard Constraints with Soft Barriers: Safe Reinforcement Learning in Unknown Stochastic Environments

8 citations · 17 across the 15 of their papers we have counts for

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2 papers · 1 filter

cs.AI2025★ 1 cited

SENTINEL: A Multi-Level Formal Framework for Safety Evaluation of Foundation Model-based Embodied Agents

Simon Sinong Zhan, Philip Wang, Yao Liu +13

We present SENTINEL, a framework for formally evaluating the physical safety of foundation model (FM)-based embodied agents. SENTINEL is the first to provide multi-level safety eva…

cs.AI2023★ 7 cited

Empowering Autonomous Driving with Large Language Models: A Safety Perspective

Yixuan Wang, Ruochen Jiao, Sinong Simon Zhan +5

Autonomous Driving (AD) encounters significant safety hurdles in long-tail unforeseen driving scenarios, largely stemming from the non-interpretability and poor generalization of t…