Reactive and Safe Road User Simulations using Neural Barrier Certificates
Yue Meng,Zengyi Qin,Chuchu Fan,Yue Meng,Zengyi Qin,Chuchu Fan
Reactive and safe agent modellings are important for nowadays traffic simulator designs and safe planning applications. In this work, we proposed a reactive agent model which can ensure safety without comprising the original purposes, by learning only high-level decisions from expert data and a low level decentralized controller guided by the jointly learned decentralized barrier certificates. Emp...
