4 citations · 7 across the 4 of their papers we have counts for
4 papers
Model-based Dynamic Shielding for Safe and Efficient Multi-Agent Reinforcement Learning
Wenli Xiao, Yiwei Lyu, John Dolan
Multi-Agent Reinforcement Learning (MARL) discovers policies that maximize reward but do not have safety guarantees during the learning and deployment phases. Although shielding wi…
Safe Reinforcement Learning with Probabilistic Control Barrier Functions for Ramp Merging
Soumith Udatha, Yiwei Lyu, John Dolan
Prior work has looked at applying reinforcement learning and imitation learning approaches to autonomous driving scenarios, but either the safety or the efficiency of the algorithm…
Safe Control Under Input Limits with Neural Control Barrier Functions
Simin Liu, Changliu Liu, John Dolan
We propose new methods to synthesize control barrier function (CBF)-based safe controllers that avoid input saturation, which can cause safety violations. In particular, our method…
Provable Probabilistic Safety and Feasibility-Assured Control for Autonomous Vehicles using Exponential Control Barrier Functions
Spencer Van Koevering, Yiwei Lyu, Wenhao Luo +1
With the increasing need for safe control in the domain of autonomous driving, model-based safety-critical control approaches are widely used, especially Control Barrier Function (…