MindRACES
https://www.mindraces.org
MindRACES is a three-year EC funded project focused on the concept of Anticipation.
MindRACEShttps://www.mindraces.org/logo.jpg
https://www.mindraces.org/
Solving Deep Memory POMDPs with Recurrent Policy Gradients
https://www.mindraces.org/public_references/idsia_publications/mindracesfile.2007-04-17.5506384227
D. Wierstra, A. Foerster, J. Schmidhuber: Solving Deep Memory POMDPs with Recurrent Policy Gradients. Under review.
gloye
AREA:Forward models
AREA:Individual behaviour
KINDOF:Comparison
KINDOF:Improvement
KINDOF:Methodological
PARTNER:IDSIA
THEME:Action Control
THEME:Monitoring
THEME:Sensori-motor
WPS:3
WPS:4
2007-04-17 13:17:40Quasi-Online Reinforcement Learning for Robots
https://www.mindraces.org/public_references/idsia_publications/ICRA_QuasiOnlineRL_v2.pdf
B. Bakker, V. Zhumatiy, G. Gruener, J. Schmidhuber: Quasi-Online
Reinforcement Learning for Robots, IEEE International Conference on
Robotics and Automation (ICRA), 2006.
gloye
AREA:Individual behaviour
AREA:Sensori-motor representations
KINDOF:Improvement
KINDOF:Methodological
KINDOF:Modelling
KINDOF:Novel Approach
PARTNER:IDSIA
THEME:Action Control
THEME:Active vision
THEME:Cognitive processes
THEME:Curiosity
THEME:Goals
THEME:Sensori-motor
WPS:3
WPS:4
2007-03-20 13:02:02 Metric State Space Reinforcement Learning for a Vision-Capable Mobile Robot
https://www.mindraces.org/public_references/idsia_publications/zhumatiy-ias06.pdf
V. Zhumatiy, F. Gomez, M. Hutter, and J. Schmidhuber: Metric State Space
Reinforcement Learning for a Vision-Capable Mobile Robot, Proc.
of the Int'l Conf. on Intelligent Autonomous Systems,
IAS-06, Tokyo, 2006.
gloye
AREA:Forward models
AREA:Individual behaviour
AREA:Sensori-motor representations
KINDOF:Comparison
KINDOF:Improvement
PARTNER:IDSIA
THEME:Action Control
THEME:Active vision
THEME:Attention
THEME:Context
THEME:Goals
THEME:Sensori-motor
WPS:3
WPS:4
2007-04-17 13:25:13Holonomic Control of a robot with an omnidirectional drive
https://www.mindraces.org/public_references/idsia_publications/omnidrive_kiart_preprint.pdf
R. Rojas, A. Gloye Förster: Holonomic Control of a robot with an
omnidirectional drive, KI - Künstliche Intelligenz, vol. 20, nr. 2,
BöttcherIT Verlag, 2006.
gloye
AREA:Individual behaviour
AREA:Sensori-motor representations
KINDOF:Improvement
KINDOF:Novel Approach
PARTNER:IDSIA
THEME:Action Control
THEME:Sensori-motor
WPS:3
WPS:4
2007-04-17 13:24:04Training Recurrent Neural Networks by Evolino
https://www.mindraces.org/public_references/idsia_publications/mindracesfile.2007-03-20.7930626560
J. Schmidhuber, D. Wierstra, M. Gagliolo, F. Gomez:
Training Recurrent Neural Networks by Evolino. To appear in
Neural Computation.
gloye
AREA:Forward models
AREA:Individual behaviour
AREA:Sensori-motor representations
KINDOF:Comparison
KINDOF:Improvement
KINDOF:Novel Approach
PARTNER:IDSIA
THEME:Context
THEME:Goals
THEME:Sensori-motor
WPS:3
WPS:4
2007-04-17 13:25:56ZMINDRACESFILE_INDEXING_DOCUMENT
https://www.mindraces.org/public_references/old_uncategorized_publications/mindracesfile.txt
Zmindracesfile_indexing_document
This is a special MindRACES file used to create categories indexes for the others
admin
AREA:Forward models
AREA:Individual behaviour
AREA:Sensori-motor representations
AREA:Social behaviour
AREA:Symbolic representations
KINDOF:Comparison
KINDOF:Improvement
KINDOF:Integration
KINDOF:Methodological
KINDOF:Modelling
KINDOF:Novel Approach
KINDOF:Review
PARTNER:IDSIA
PARTNER:IST
PARTNER:ISTC-CNR
PARTNER:LUCS
PARTNER:NBU
PARTNER:NOZE
PARTNER:OFAI
PARTNER:UW-COGSCI
THEME:Action Control
THEME:Active vision
THEME:Analogy-based
THEME:Attention
THEME:Cautiousness
THEME:Cognitive processes
THEME:Concept formation
THEME:Context
THEME:Curiosity
THEME:Emotions
THEME:Goals
THEME:Ideomotor principle
THEME:Monitoring
THEME:Priming
THEME:Sensori-motor
THEME:Surprise
WPS:1
WPS:2
WPS:3
WPS:4
WPS:5
WPS:6
WPS:7
2007-04-16 17:38:13RNN-based Learning of Compact Maps for Efficient Robot Localization
https://www.mindraces.org/public_references/idsia_publications/esannFinal.pdf
A. Foerster, A. Graves, J. Schmidhuber: RNN-based Learning of Compact Maps for Efficient Robot Localization. ESANN 2007.
gloye
AREA:Forward models
AREA:Symbolic representations
KINDOF:Comparison
KINDOF:Improvement
KINDOF:Methodological
KINDOF:Modelling
KINDOF:Novel Approach
PARTNER:IDSIA
THEME:Context
THEME:Monitoring
WPS:4
2007-04-17 13:15:07Training Recurrent Neural Networks by Evolino
https://www.mindraces.org/public_references/idsia_publications/nc2007.pdf
J. Schmidhuber, D. Wierstra, M. Gagliolo, F. Gomez: Training Recurrent Neural Networks by Evolino. Neural Computation, 19(3), March 2007.
gloye
AREA:Forward models
AREA:Individual behaviour
KINDOF:Comparison
KINDOF:Improvement
KINDOF:Integration
KINDOF:Methodological
PARTNER:IDSIA
THEME:Action Control
THEME:Goals
THEME:Monitoring
WPS:3
WPS:4
2007-04-17 13:20:29