most citedOptimizing Traffic Lights with Multi-agent Deep Reinforcement Learning and V2X communication

6 citations · 6 across the 2 of their papers we have counts for

collaborators

2 papers

cs.AI2020★ 6 cited

Optimizing Traffic Lights with Multi-agent Deep Reinforcement Learning and V2X communication

Azhar Hussain, Tong Wang, Cao Jiahua

We consider a system to optimize duration of traffic signals using multi-agent deep reinforcement learning and Vehicle-to-Everything (V2X) communication. This system aims at analyz…

cs.CV2019

SAML-QC: a Stochastic Assessment and Machine Learning based QC technique for Industrial Printing

Azhar Hussain

Recently, the advancement in industrial automation and high-speed printing has raised numerous challenges related to the printing quality inspection of final products. This paper p…