Name: Andrés Arciniegas Mejía
Type: User
Company: Leonardo Company
Bio: MSc. AI and Robotics-Sapienza Università di Roma 📚
Electronics engineer. Currently working @ Leonardo Company, UxV/Unmmaned Research Unit
Location: Rome, Italy
Andrés Arciniegas Mejía's Projects
Personal websitde
Model that processes a text with no spaces (as Chinese written language), and generates the corresponding annotation of the segmentation in BIES format, with deep learning tools.
Project for the IBM CI/CD course
Goal-Oriented Chatbot trained with Deep Reinforcement Learning
Display de Pantalla LCD Raspberry Para medidor inteligente
Interfaz de usuario con Interacción con Tarjeta ADE7880
A toolkit for developing and comparing reinforcement learning algorithms.
PyBullet Gym environments for single and multi-agent reinforcement learning of quadcopter control
This script allows you to download automatically the lessons' PDFs for offline study. They can be manually downloaded in your Lingoda page.
Multi-Agent Reinforcement Learning approach to solve a battery charge scheduling problem, in a decentralized scenario.
Aplicación que administra comunicación con integrado ADE de medición para un medidor de energía. Carga las medidas a una base de datos en MySQL para poder acceder a ellas desde diferentes aplicaciones
Console code for automatic measurement generation, through database data inserting
Chat bot simulating a robotic assistant that works as a personal nurse. It's built on RASA and Spacy
Battery charge management environment, designed as a multi-agent scenario with continuous observation and action space, where the agents are charging stations that must meet the energy requirements of a previously-scheduled group of PEVs (Plug-in Electric Vehicles), constrained to a local power supply restriction, and a global restriction from the containing Load Area.
Some practice in PDDL programming.
Material para desarrollo de GUI
Survival zombie game
Code solution of some exercises on Robotics I course.
Página para consumir desde servidor en Raspberry Pi
A small manual script to cut and save sentences from an song (or any audio file). It was built to load pieces of audio to language learning tools.
Classification problem of Machine Learning, with MarDT Boats Dataset
CICD_PracticeCode