23 citations · 51 across the 7 of their papers we have counts for
8 papers
Distributed Map Classification using Local Observations
Guangyi Liu, Arash Amini, Martin Takáč +2
We consider the problem of classifying a map using a team of communicating robots. It is assumed that all robots have localized visual sensing capabilities and can exchange their i…
Constrained Combinatorial Optimization with Reinforcement Learning
Ruben Solozabal, Josu Ceberio, Martin Takáč
This paper presents a framework to tackle constrained combinatorial optimization problems using deep Reinforcement Learning (RL). To this end, we extend the Neural Combinatorial Op…
Finite Difference Neural Networks: Fast Prediction of Partial Differential Equations
Zheng Shi, Nur Sila Gulgec, Albert S. Berahas +2
Discovering the underlying behavior of complex systems is an important topic in many science and engineering disciplines. In this paper, we propose a novel neural network framework…
FD-Net with Auxiliary Time Steps: Fast Prediction of PDEs using Hessian-Free Trust-Region Methods
Nur Sila Gulgec, Zheng Shi, Neil Deshmukh +2
Discovering the underlying physical behavior of complex systems is a crucial, but less well-understood topic in many engineering disciplines. This study proposes a finite-differenc…
A Layered Architecture for Active Perception: Image Classification using Deep Reinforcement Learning
Hossein K. Mousavi, Guangyi Liu, Weihang Yuan +3
We propose a planning and perception mechanism for a robot (agent), that can only observe the underlying environment partially, in order to solve an image classification problem. A…
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…