---
abstract: |-
  Evolutionary Robotics is a promising approach
  to automatically build efficient controllers
  using stochastic optimization techniques.
  However, works in this area are often
  confronted to complex environments where
  even simple tasks cannot be achieved. In
  the scope of this paper, we propose an approach
  based on explicit problem decomposition
  and dynamic environment shaping to
  ease the learning task.
altloc:
  - http://asip.lucs.lu.se/ftp/pub/LUCS_Studies/LUCS123/bredeche.pdf
  - http://asip.lucs.lu.se/ftp/pub/LUCS_Studies/LUCS123/epirob05d.pdf
chapter: ~
commentary: ~
commref: ~
confdates: 'July 22-24, 2005'
conference: 'Fifth International Workshop on Epigenetic Robotics: Modeling Cognitive Development in Robotic Systems'
confloc: 'Nara, Japan'
contact_email: ~
creators_id: []
creators_name:
  - family: Bredeche
    given: Nicolas
    honourific: ''
    lineage: ''
  - family: Hugues
    given: Louis
    honourific: ''
    lineage: ''
date: 2005
date_type: published
datestamp: 2006-07-23
department: ~
dir: disk0/00/00/49/89
edit_lock_since: ~
edit_lock_until: ~
edit_lock_user: ~
editors_id: []
editors_name:
  - family: Berthouze
    given: Luc
    honourific: ''
    lineage: ''
  - family: Kaplan
    given: Frédéric
    honourific: ''
    lineage: ''
  - family: Kozima
    given: Hideki
    honourific: ''
    lineage: ''
  - family: Yano
    given: Hiroyuki
    honourific: ''
    lineage: ''
  - family: Konczak
    given: Jürgen
    honourific: ''
    lineage: ''
  - family: Metta
    given: Giorgio
    honourific: ''
    lineage: ''
  - family: Nadel
    given: Jacqueline
    honourific: ''
    lineage: ''
  - family: Sandini
    given: Giulio
    honourific: ''
    lineage: ''
  - family: Stojanov
    given: Georgi
    honourific: ''
    lineage: ''
  - family: Balkenius
    given: Christian
    honourific: ''
    lineage: ''
eprint_status: archive
eprintid: 4989
fileinfo: /style/images/fileicons/application_pdf.png;/4989/1/bredeche.pdf
full_text_status: public
importid: ~
institution: ~
isbn: ~
ispublished: pub
issn: ~
item_issues_comment: []
item_issues_count: 0
item_issues_description: []
item_issues_id: []
item_issues_reported_by: []
item_issues_resolved_by: []
item_issues_status: []
item_issues_timestamp: []
item_issues_type: []
keywords: 'evolutionary robotics, developmental robot, task decomposition, dynamic fitness'
lastmod: 2011-03-11 08:56:31
latitude: ~
longitude: ~
metadata_visibility: show
note: ~
number: ~
pagerange: 137-138
pubdom: FALSE
publication: ~
publisher: Lund University Cognitive Studies
refereed: TRUE
referencetext: ~
relation_type: []
relation_uri: []
reportno: ~
rev_number: 12
series: ~
source: ~
status_changed: 2007-09-12 17:05:51
subjects:
  - comp-sci-mach-learn
  - comp-sci-robot
succeeds: ~
suggestions: ~
sword_depositor: ~
sword_slug: ~
thesistype: ~
title: |-
  Speeding up Learning with Dynamic Environment
  Shaping in Evolutionary Robotics
type: confposter
userid: 3507
volume: 123
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