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DREAM

Deferred Restructuring of Experience in Autonomous Machines

Total Cost €

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EC-Contrib. €

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Partnership

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Project "DREAM" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITE PIERRE ET MARIE CURIE - PARIS 6 

There are not information about this coordinator. Please contact Fabio for more information, thanks.

 Coordinator Country France [FR]
 Project website http://www.robotsthatdream.eu/
 Total cost 2˙784˙240 €
 EC max contribution 2˙730˙241 € (98%)
 Programme 1. H2020-EU.1.2.2. (FET Proactive)
 Code Call H2020-FETPROACT-2014
 Funding Scheme RIA
 Starting year 2015
 Duration (year-month-day) from 2015-01-01   to  2018-12-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    SORBONNE UNIVERSITE FR (PARIS) coordinator 883˙650.00
2    UNIVERSITE PIERRE ET MARIE CURIE - PARIS 6 FR (PARIS) coordinator 0.00
3    UNIVERSIDADE DA CORUNA ES (LA CORUNA) participant 539˙998.00
4    ASSOCIATION POUR LA RECHERCHE ET LE DEVELOPPEMENT DES METHODES ET PROCESSUS INDUSTRIELS FR (PARIS) participant 512˙480.00
5    STICHTING VU NL (AMSTERDAM) participant 446˙693.00
6    THE UNIVERSITY OF EDINBURGH UK (EDINBURGH) participant 237˙096.00
7    QUEEN MARY UNIVERSITY OF LONDON UK (LONDON) participant 110˙323.00

Map

 Project objective

A holy grail in robotics and artificial intelligence is to design a machine that can accumulate adaptations on developmental time scales of months and years. From infancy through adult- hood, such a system must continually consolidate and bootstrap its knowledge, to ensure that the learned knowledge and skills are compositional, and organized into meaningful hierarchies. Consolidation of previous experience and knowledge appears to be one of the main purposes of sleep and dreams for humans, that serve to tidy the brain by removing excess information, to recombine concepts to improve information processing, and to consolidate memory. Our approach – Deferred Restructuring of Experience in Autonomous Machines (DREAM) – incorporates sleep and dream-like processes within a cognitive architecture. This enables an individual robot or groups of robots to consolidate their experience into more useful and generic formats, thus improving their future ability to learn and adapt. DREAM relies on Evo- lutionary Neurodynamic ensemble methods (Fernando et al, 2012 Frontiers in Comp Neuro; Bellas et al., IEEE-TAMD, 2010 ) as a unifying principle for discovery, optimization, re- structuring and consolidation of knowledge. This new paradigm will make the robot more autonomous in its acquisition, organization and use of knowledge and skills just as long as they comply with the satisfaction of pre-established basic motivations. DREAM will enable robots to cope with the complexity of being an information-processing entity in domains that are open-ended both in terms of space and time. It paves the way for a new generation of robots whose existence and purpose goes far beyond the mere execution of dull tasks.

 Deliverables

List of deliverables.
DREAM module WP1 Other 2019-11-20 14:22:49
Publication 3 WP4 Documents, reports 2019-11-20 14:22:49
Publication 2 WP5 Documents, reports 2019-11-20 14:22:48
Publication 3 WP1 Documents, reports 2019-11-20 14:22:48
Open Research Data Pilot Open Research Data Pilot 2019-11-20 14:22:49
Publication WP6 Documents, reports 2019-11-20 14:22:48
Publication 2 WP3 Documents, reports 2019-11-20 14:22:48
Data management plan, v3 Documents, reports 2019-11-20 14:22:49
Complete DREAM dem. Demonstrators, pilots, prototypes 2019-11-20 14:22:48
Publication 2 WP4 Documents, reports 2019-11-20 14:22:48
Publication 3 WP5 Documents, reports 2019-11-20 14:22:49
Publication 3 WP3 Documents, reports 2019-11-20 14:22:49
Publication 3 WP2 Documents, reports 2019-11-20 14:22:48
DREAM Module WP3 Other 2019-11-20 14:22:48
DREAM v1 Other 2019-11-20 14:22:48
Data management plan, v2 Documents, reports 2019-11-20 14:22:48
Publication 2 WP2 Documents, reports 2019-11-20 14:22:47
Publication 2 WP1 Documents, reports 2019-11-20 14:22:47
DREAM Module WP4 Other 2019-11-20 14:22:47
DREAM Module WP2 Other 2019-11-20 14:22:48
Publication 1 WP3 Documents, reports 2019-11-20 14:22:48
Publication 1 WP4 Documents, reports 2019-11-20 14:22:48
Publication 1 WP5 Documents, reports 2019-11-20 14:22:48
Publication 1 WP2 Documents, reports 2019-11-20 14:22:45
Publication 1 WP1 Documents, reports 2019-11-20 14:22:45
Experimental protocol Documents, reports 2019-11-20 14:22:45
CAFER Release Other 2019-11-20 14:22:45
Data management plan, v1 Documents, reports 2019-11-20 14:22:45
DREAM web site Websites, patent fillings, videos etc. 2019-11-20 14:22:45

Take a look to the deliverables list in detail:  detailed list of DREAM deliverables.

 Publications

year authors and title journal last update
List of publications.
2017 Y. Yang, Y. Zheng, T. M. Hospedales
Gated Neural Networks for Option Pricing: Rationality by Design
published pages: , ISSN: , DOI:
AAAI Conference on Artificial Intelligence 2019-11-20
2017 Heinerman, J., Stork, J., Rebolledo, M., Hubert, J., Eiben, A.E., Bartz-Beielstein, T., Haasdijk, E.
Can Social Learning Increase Learning Speed, Performance or Both?
published pages: , ISSN: , DOI:
Proceedings of the European Conference on Artificial Life 2019-11-20
2016 Arthur Bernard, Jean-Baptiste André, Nicolas Bredeche
To Cooperate or Not to Cooperate: Why Behavioural Mechanisms Matter
published pages: e1004886, ISSN: 1553-7358, DOI: 10.1371/journal.pcbi.1004886
PLOS Computational Biology 12/5 2019-11-20
2016 Jean-Marc Montanier, Simon Carrignon, Nicolas Bredeche
Behavioral Specialization in Embodied Evolutionary Robotics: Why So Difficult?
published pages: , ISSN: 2296-9144, DOI: 10.3389/frobt.2016.00038
Frontiers in Robotics and AI 3 2019-11-20
2018 Richard J. Duro, Jose A. Becerra, Juan Monroy, Francisco Bellas
Perceptual Generalization and Context in a Network Memory Inspired Long-Term Memory for Artificial Cognition
published pages: 1850053, ISSN: 0129-0657, DOI: 10.1142/S0129065718500533
International Journal of Neural Systems 2019-11-20
2016 Olivier Sigaud, Alain Droniou
Towards Deep Developmental Learning
published pages: 99-114, ISSN: 2379-8920, DOI: 10.1109/TAMD.2015.2496248
IEEE Transactions on Cognitive and Developmental Systems 8/2 2019-11-20
2016 P. Caama?o, R. Salgado, F. Bellas, R. J. Duro
Introducing Synaptic Delays in the NEAT Algorithm to Improve Modelling in Cognitive Robotics
published pages: 479-504, ISSN: 1370-4621, DOI: 10.1007/s11063-015-9426-5
Neural Processing Letters 43/2 2019-11-20
2015 Legoff, L. and Maestre, C. and Doncieux, S.
Visual saliency-based babbling of unknown dynamic environments (extended abstract)
published pages: , ISSN: , DOI:
Learning Object Affordances Workshop, IROS 2015 2019-11-20
2017 Matthieu Zimmer, Stephane Doncieux
Bootstrapping Q-Learning for Robotics from Neuro-Evolution Results
published pages: 1-1, ISSN: 2379-8920, DOI: 10.1109/TCDS.2016.2628817
IEEE Transactions on Cognitive and Developmental Systems 2019-11-20
2017 Jacqueline Heinerman, Evert Haasdijk, A.E. Eiben
Unsupervised identification and recognition of situations for high-dimensional sensori-motor streams
published pages: , ISSN: 0925-2312, DOI: 10.1016/j.neucom.2017.02.090
Neurocomputing 2019-11-20
2017 Heinerman, J., Stork, J., Rebolledo, M., Hubert, J., Eiben, A.E., Bartz-Beielstein, T., Haasdijk, E.
Is Social Learning More Than Parameter Tuning?
published pages: , ISSN: , DOI: 10.1145/3067695.3076059
Proceedings of the 18th annual conference on Genetic and evolutionary computation 2019-11-20
2017 F. Bellas, M. Naya, G. Varela, L. Llamas, A. Prieto, J.C. Becerra, M. Bautista, A. Faiña, R.J. Duro
The Robobo Project: Bringing Educational Robotics Closer to Real-World Applications
published pages: , ISSN: , DOI:
Proceedings 8th International Conference on Robotics in Education (RIE 2017) 2019-11-20
2016 R. Salgado, A. Prieto, F. Bellas, L. Calvo-Varela, R.J. Duro
Motivational engine with autonomous sub-goal identification for the Multilevel Darwinist Brain
published pages: 1-11, ISSN: 2212-683X, DOI: 10.1016/j.bica.2016.07.003
Biologically Inspired Cognitive Architectures 17 2019-11-20
2017 Richard J. Duro, Jose A. Becerra, Juan Monroy, Luis Calvo
Multilevel Darwinist Brain: Context Nodes in a Network Memory Inspired Long Term Memory
published pages: 22-31, ISSN: , DOI: 10.1007/978-3-319-59740-9_3
2019-11-20
2017 P. Trueba, A. Prieto, F. Bellas
Embodied Evolution versus Cooperative Coevolution in Multi-Robot Optimization: a practical comparison
published pages: , ISSN: , DOI:
Proceedings GECCO 2017 2019-11-20
2016 Qian Yu, Feng Liu, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales, Chen-Change Loy
Sketch Me That Shoe
published pages: 799-807, ISSN: , DOI:
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2019-11-20
2015 Stefano Palminteri, Mehdi Khamassi, Mateus Joffily, Giorgio Coricelli
Contextual modulation of value signals in reward and punishment learning
published pages: 8096, ISSN: 2041-1723, DOI: 10.1038/ncomms9096
Nature Communications 6 2019-11-20
2016 Yun Zhou, Timothy M. Hospedales, Norman Fenton
When and where to transfer for Bayesian network parameter learning
published pages: 361-373, ISSN: 0957-4174, DOI: 10.1016/j.eswa.2016.02.011
Expert Systems with Applications 55 2019-11-20
2015 Freek Stulp, Olivier Sigaud
Many regression algorithms, one unified model: A review
published pages: 60-79, ISSN: 0893-6080, DOI: 10.1016/j.neunet.2015.05.005
Neural Networks 69 2019-11-20
2016 Jacqueline Heinerman, Alessandro Zonta, Evert Haasdijk, A. E. Eiben
On-line Evolution of Foraging Behaviour in a Population of Real Robots
published pages: 198-212, ISSN: , DOI: 10.1007/978-3-319-31153-1_14
Applications of Evolutionary Computation 2019-11-20
2017 Evert Haasdijk, Jacqueline Heinerman
Quantifying Selection Pressure
published pages: , ISSN: 1063-6560, DOI: 10.1162/EVCO_a_00207
Evolutionary Computation 2019-11-20
2015 Stephane Doncieux, Nicolas Bredeche, Jean-Baptiste Mouret, Agoston E. (Gusz) Eiben
Evolutionary Robotics: What, Why, and Where to
published pages: , ISSN: 2296-9144, DOI: 10.3389/frobt.2015.00004
Frontiers in Robotics and AI 2 2019-11-20
2015 Yun Zhou, Norman Fenton, Timothy M. Hospedales and Martin Neil
Probabilistic Graphical Models Parameter Learning with Transferred Prior and Constraints
published pages: 972-981, ISSN: , DOI:
Uncertainty in Artificial Intelligence 2019-11-20
2017 Rodrigo Salgado, Abraham Prieto, Francisco Bellas, Richard J. Duro
Motivational Engine for Cognitive Robotics in Non-Static Tasks
published pages: 32-42, ISSN: , DOI: 10.1007/978-3-319-59740-9_4
Lecture Notes in Computer Science 10337 2019-11-20
2016 Rodrigo Salgado, Abraham Prieto, Pilar Caama?o, Francisco Bellas, Richard J. Duro
Motivational Engine with Sub-Goal Identification in Neuroevolution based Cognitive Robotics
published pages: 659-670, ISSN: , DOI: 10.1007/978-3-319-32034-2_55
Lecture Notes in Computer Science 9648 2019-11-20
2017 YANG, Yongxin et HOSPEDALES, Timothy
Deep Multi-task Representation Learning: A Tensor Factorisation Approach
published pages: , ISSN: , DOI:
Proceedings of ICLR 2019-11-20
2017 P. Caama?o, G. Varela, R.J. Duro
An evolutionary approach to constrained sampling optimization problems
published pages: 266-279, ISSN: 1568-4946, DOI: 10.1016/j.asoc.2016.12.002
Applied Soft Computing 51 2019-11-20
2017 C. Zhao, T. Hospedales, F. Stulp, O. Sigaud
Tensor Based Knowledge Transfer Across Skill Categories for Robot Control
published pages: , ISSN: , DOI:
Proceedings of IJCAI 2017 2019-11-20
2015 Ecarlat, P. and Cully, A. and Maestre, C. and Doncieux, S.
Learning a high diversity of object manipulations though an evolutionary-based babbling (extended abstract)
published pages: , ISSN: , DOI:
Learning Object Affordances Workshop, IROS 2015 2019-11-20
2015 G. Hu, Y. Yang, D. Yi, J. Kittler, W. Christmas, S. Z. Li, T. Hospedales
When Face Recognition Meets with Deep Learning: an Evaluation of Convolutional Neural Networks for Face Recognition
published pages: , ISSN: , DOI:
ICCV Workshop ChaLearn Looking at People 2019-11-20
2016 Abraham Prieto, F. Bellas, P. Trueba, R.J. Duro
Real-time optimization of dynamic problems through distributed Embodied Evolution
published pages: 237-253, ISSN: 1069-2509, DOI: 10.3233/ICA-160522
Integrated Computer-Aided Engineering 23/3 2019-11-20

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