Gallery — Project / Lab Report

Lazaridou., et al 2017 proposed a framework for language learning that relies on multi-agent communication. The agents in the framework were setup in a referential game where they communicated about many images. In this paper, we propose an experiment where agents develop a private language for referring to specified sentences given a set of sentences. The challenge is for the agents to learn a method of distinguishing differences between sentences and to develop a shared language to be able to refer to particular sentences by those distinguishing features. We will evaluate the agents' ability to accurately identify and differentiate the sentences. In addition, we will identify patterns in the methods that the agents develop to refer to the different types of sentences.Keywords: Reinforcement learning, multi-agent coordination

Report without cover page Created by Zengjie Xia on 30/01/2018. Copyright © 2018 Zengjie Xia. All rights reserved.

This is a report on the Dijkstra's Algorithm

Template for the propositional logic lab in T-622-ARTI at Reykjavik University

En la presente guía se desarrollará el procedimiento que permitirá poner en práctica los conocimientos adquiridos en la clase teórica de Introducción a la Ingeniería Eléctrica. El tema a desarrollar es el de circuitos serie, además se realizará una introducción a los instrumentos de medida del laboratorio y su segura manipulación.

This is the laboratory article's template for Chemical Engineers (UCR, 2017).

Modelo de Monografia do Curso de Pós Graduação em Informatica Aplicada a Educação do IFSP Campus Itapetininga

GOOGLE EARTH

Hadoop versus Spark