Gallery — Two-column

This demo file is intended to serve as a ``starter file'' for IEEE conference papers produced under LaTeX using IEEEtran.cls version 1.8b and later. This is one of a number of templates using the IEEE style that are available on Overleaf to help you get started - use the tags below to find more. IEEEtran.cls version: 1.8b

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.

How to conceal objects from electromagnetic radiation has been a hot research topic. Radar is an object detection system that uses Radio waves to determine the range, angle, or velocity. A radar transmit radio waves or microwaves that reflect from any object in their path. A receive radar is typically the same system as transmit radar, receives and processes these reflected wave to determine properties of object. Different organizations are working onto hide object from the radar in outer space. Any confidential object can be taken through space without being detected by the enemies. This calls for necessity of devising new method to conceal an object electromagnetically.

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

This is a working paper template developed by the Interdisciplinary Laboratory of Computational Social Science at the University of Maryland, College Park.

This is an example of using segabs.cls for writing SEG expanded abstracts.

Downloaded from https://www.sbgames.org/sbgames2017/downloads/template-latex-sbgames2017.zip

The IST-PORTFOLIO Report TEMPLATE, version v2.1-2017, is used in to produce the Activities Report and the Learnings Report of INSTITUTO SUPERIOR TECNICO, UNIVERSIDADE DE LISBOA, Independent Studies Courses. The Template is "smart", allowing to select the language of writing (English or Portuguese), as well as the "type" of Report to be written. Please view instructions in the README.TXT file.