169 citations · 275 across the 9 of their papers we have counts for
10 papers
A Review on Contact and Collision Methods for Multi-body Hydrodynamic problems in Complex Flows
Sajjad Karimnejad, Amin Amiri Delouei, Hakan Basagaoglu +5
Modeling and direct numerical simulation of particle-laden flows have a tremendous variety of applications in science and engineering across a vast spectrum of scales from pollutio…
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…
SONIA: A Symmetric Blockwise Truncated Optimization Algorithm
Majid Jahani, Mohammadreza Nazari, Rachael Tappenden +2
This work presents a new algorithm for empirical risk minimization. The algorithm bridges the gap between first- and second-order methods by computing a search direction that uses…
Don't Forget Your Teacher: A Corrective Reinforcement Learning Framework
Mohammadreza Nazari, Majid Jahani, Lawrence V. Snyder +1
Although reinforcement learning (RL) can provide reliable solutions in many settings, practitioners are often wary of the discrepancies between the RL solution and their status quo…
Scaling Up Quasi-Newton Algorithms: Communication Efficient Distributed SR1
Majid Jahani, Mohammadreza Nazari, Sergey Rusakov +2
In this paper, we present a scalable distributed implementation of the Sampled Limited-memory Symmetric Rank-1 (S-LSR1) algorithm. First, we show that a naive distributed implement…
Multi-Agent Image Classification via Reinforcement Learning
Hossein K. Mousavi, Mohammadreza Nazari, Martin Takáč +1
We investigate a classification problem using multiple mobile agents capable of collecting (partial) pose-dependent observations of an unknown environment. The objective is to clas…
Reinforcement Learning for Solving the Vehicle Routing Problem
Mohammadreza Nazari, Afshin Oroojlooy, Lawrence V. Snyder +1
We present an end-to-end framework for solving the Vehicle Routing Problem (VRP) using reinforcement learning. In this approach, we train a single model that finds near-optimal sol…
A Deep Q-Network for the Beer Game: A Deep Reinforcement Learning algorithm to Solve Inventory Optimization Problems
Afshin Oroojlooyjadid, MohammadReza Nazari, Lawrence Snyder +1
The beer game is a widely used in-class game that is played in supply chain management classes to demonstrate the bullwhip effect. The game is a decentralized, multi-agent, coopera…
Reward Maximization in General Dynamic Matching Systems
Mohammadreza Nazari, Alexander L. Stolyar
We consider a matching system with random arrivals of items of different types. The items wait in queues -- one per each item type -- until they are "matched." Each matching requir…