42 citations · 95 across the 15 of their papers we have counts for
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cs.RO2022★ 5 cited
Safe and Efficient Reinforcement Learning Using Disturbance-Observer-Based Control Barrier Functions
Yikun Cheng, Pan Zhao, Naira Hovakimyan
Safe reinforcement learning (RL) with assured satisfaction of hard state constraints during training has recently received a lot of attention. Safety filters, e.g., based on contro…
eess.SY2022
Safety Embedded Stochastic Optimal Control of Networked Multi-Agent Systems via Barrier States
Lin Song, Pan Zhao, Neng Wan +1
This paper presents a novel approach for achieving safe stochastic optimal control in networked multi-agent systems (MASs). The proposed method incorporates barrier states (BaSs) i…