73 citations · 184 across the 6 of their papers we have counts for
6 papers
Machine Learning to Generate Adjustable Dose Distributions in Head-and-Neck Cancer Radiation Therapy
Davood Hajinezhad, Afshin Oroojlooy, Mohammadreza Nazari +5
In this work, we propose a Machine Learning model that generates an adjustable 3D dose distribution for external beam radiation therapy for head-and-neck cancer treatments. In cont…
AttendLight: Universal Attention-Based Reinforcement Learning Model for Traffic Signal Control
Afshin Oroojlooy, Mohammadreza Nazari, Davood Hajinezhad +1
We propose AttendLight, an end-to-end Reinforcement Learning (RL) algorithm for the problem of traffic signal control. Previous approaches for this problem have the shortcoming tha…
A Review of Cooperative Multi-Agent Deep Reinforcement Learning
Afshin OroojlooyJadid, Davood Hajinezhad
Deep Reinforcement Learning has made significant progress in multi-agent systems in recent years. In this review article, we have focused on presenting recent approaches on Multi-A…
Gradient-Free Multi-Agent Nonconvex Nonsmooth Optimization
Davood Hajinezhad, Michael Zavlanos
In this paper, we consider the problem of minimizing the sum of nonconvex and possibly nonsmooth functions over a connected multi-agent network, where the agents have partial knowl…
Zeroth Order Nonconvex Multi-Agent Optimization over Networks
Davood Hajinezhad, Mingyi Hong, Alfredo Garcia
In this paper, we consider distributed optimization problems over a multi-agent network, where each agent can only partially evaluate the objective function, and it is allowed to e…
NESTT: A Nonconvex Primal-Dual Splitting Method for Distributed and Stochastic Optimization
Davood Hajinezhad, Mingyi Hong, Tuo Zhao +1
We study a stochastic and distributed algorithm for nonconvex problems whose objective consists of a sum of nonconvex -smooth functions, plus a nonsmooth regularizer. Th…