Skip to main navigation Skip to search Skip to main content

Exploration and exploitation in visuomotor prediction of autonomous agents

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

This paper discusses various techniques to let an agent learn how to predict the effects of its own actions on its sensor data autonomously, and their usefulness to apply them to visual sensors. An Extreme Learning Machine is used for visuomotor prediction, while various autonomous control techniques that can aid the prediction process by balancing exploration and exploitation are discussed and tested in a simple system: a camera moving over a 2D greyscale image.

Original languageEnglish
Title of host publicationProceedings of BNAIC 2013: 25th Belgium-Netherlands Conference on Artificial Intelligence
Pages1-8
Number of pages8
Publication statusPublished - 2013
Externally publishedYes
Event25th Benelux Conference on Artificial Intelligence (BNAIC2013) - Delft, Netherlands
Duration: 7 Nov 20138 Nov 2013
Conference number: 25

Conference

Conference25th Benelux Conference on Artificial Intelligence (BNAIC2013)
Abbreviated titleBNAIC 2013
Country/TerritoryNetherlands
CityDelft
Period7/11/138/11/13

Fingerprint

Dive into the research topics of 'Exploration and exploitation in visuomotor prediction of autonomous agents'. Together they form a unique fingerprint.

Cite this