
Carolina HigueraUniversidad de los Andes
Carolina Higuera
Master of Engineering
About
7
Publications
3,009
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
4
Citations
Citations since 2017
Introduction
Publications
Publications (7)
We show the application of inverse reinforcement learning (IRL) in discrete and continuous environments based on the apprenticeship focus. The objective is to learn a mathematical definition of a task based on trajectories made by an expert agent. To achieve this, there must be features functions that in some way describe abilities that the agent c...
This paper presents the theoretical background and the implementation of a Long Short-Term Memory (LSTM) Neural Network architecture to recognize arm movements from video clips. The pose points (corresponding to the position of six body parts: shoulders, elbows and wrists) are extracted with a pre-trained Convolutional Pose Machine. Those points ge...
This paper proposes a system to analyze urban traffic through the using of artificial vision, in order to get reliable information about the traffic flow in cities with severe traffic jam, as in Bogotá, Colombia. It was proposed a method efficient enough to be implemented in an embedded system, in order to process the images captured by a local cam...
We present the application of multiagent reinforcement learning to the problem of traffic light signal control to decrease travel time. We model roads as a collection of agents for each signalized junction. Agents learn to set phases that jointly maximize a reward function that encourages short vehicle queuing delays and queue lengths at all juncti...
We present a demonstration of two coordination methods for the application of multiagent reinforcement learning to the problem of traffic light signal control to decrease travel time. The first approach that we tested exploits the fact that the reward function can be splitted into contributions per agent. The second method computes the best respons...
In this paper we present the current state of
STOX’s team to participate in LARC/CBR Small Size Robot
League competition 2018, in Jo˜ao Pessoa, Brazil. Initially, we
show the structure of our team in terms of mechanics and
hardware. Next, we describe the operation of our robots at
lower level. Then, we present our new approach to a smarter
strategy...
This document shows the results obtained experimentally for the deduction of transfer functions of a tanks plant connected in cascade through measurement of level and temperature variables. To obtain the characteristic curves that describe the behavior of these variables were used sensors installed in the process. Also, the design procedure of a mu...