77 citations · 187 across the 16 of their papers we have counts for
3 papers · 1 filter
Time-Incremental Learning from Data Using Temporal Logics
Erfan Aasi, Mingyu Cai, Cristian Ioan Vasile +1
Real-time and human-interpretable decision-making in cyber-physical systems is a significant but challenging task, which usually requires predictions of possible future events from…
Intelligent Traffic Light via Policy-based Deep Reinforcement Learning
Yue Zhu, Mingyu Cai, Chris Schwarz +2
Intelligent traffic lights in smart cities can optimally reduce traffic congestion. In this study, we employ reinforcement learning to train the control agent of a traffic light on…
Modular Deep Reinforcement Learning for Continuous Motion Planning with Temporal Logic
Mingyu Cai, Mohammadhosein Hasanbeig, Shaoping Xiao +2
This paper investigates the motion planning of autonomous dynamical systems modeled by Markov decision processes (MDP) with unknown transition probabilities over continuous state a…