Deferred Restructuring of Experience in Autonomous Machines

Informations projet

DREAM

N° de convention de subvention: 640891

DOI 10.3030/640891

Projet clôturé

Date de signature de la CE 24 Novembre 2014

Date de début 1 Janvier 2015

Date de fin 31 Decembre 2018

Financé au titre de

• EXCELLENT SCIENCE - Future and Emerging Technologies (FET)

Coût total € 2 784 240,94

Contribution de l’UE € 2 730 241,94

Coordonné par

SORBONNE UNIVERSITE
France

Livrables

Documents, reports (20)

Publication 1 WP4

First publication on WP4 results.

Publication 3 WP4

Final publication on WP4 results.

Publication 3 WP2

Third publication on WP2 results.

Publication 2 WP3

Second publication on WP3 results.

Data management plan, v1

release of the data management plan, version 1.

Publication 2 WP1

Second publication on WP1 results.

Publication 1 WP3

First publication on WP3 results.

Data management plan, v3

Release of the Data Management plan, version 3.

Publication 1 WP1

Publication on WP1 first results.

Publication 2 WP2

Second publication on WP2 results.

Publication 3 WP1

Third publication on WP1 results.

Publication 3 WP3

Final publication on WP3 results.

Experimental protocol

Experimental protocol to be used in the validation tests for the whole system.

Publication 1 WP5

First publication in between neuroscience and DREAM principles.

Publication WP6

Publication on the whole integrated DREAM architecture.

Publication 1 WP2

Publication on WP2 first results.

Publication 2 WP4

Second publication on WP4 results.

Publication 3 WP5

Final pubication on neuroscience and DREAM principles

Data management plan, v2

Release of the Data Management Plan, version 2.

Publication 2 WP5

Second publication on WP5 results.

Other (6)

DREAM Module WP2

First release of the DREAM module implementing the work done in the WP2

DREAM v1

First version of the DREAM core implementation on top of the CAFER framework.

CAFER Release

first release of the software framework that will support the implementation of the cognitive architecture and its different modules.

DREAM module WP1

First release of the DREAM module implementing the work done in WP1

DREAM Module WP4

First release of the DREAM module implementing the work done in the WP4.

DREAM Module WP3

First release of the DREAM module implementing the work done in WP3.

Open Research Data Pilot (1)

Open Research Data Pilot

Project signed before February 2016 Just to bypasss the error message during the amendement preparation proces.

Websites, patent fillings, videos etc. (1)

DREAM web site

Web site of the project, first release.

Demonstrators, pilots, prototypes (1)

Complete DREAM dem.

Complete DREAM architecture implemented with CAFER on top of the robot chosen for the demonstration.

Publications

Peer reviewed articles (15)

Perceptual Generalization and Context in a Network Memory Inspired Long-Term Memory for Artificial Cognition

Auteurs: Richard J. Duro, Jose A. Becerra, Juan Monroy, Francisco Bellas
Publié dans: International Journal of Neural Systems, 2018, Page(s) 1850053, ISSN 0129-0657
Éditeur: World Scientific Publishing Co
DOI: 10.1142/S0129065718500533

Evolutionary Robotics: What, Why, and Where to

Auteurs: Stephane Doncieux, Nicolas Bredeche, Jean-Baptiste Mouret, Agoston E. (Gusz) Eiben
Publié dans: Frontiers in Robotics and AI, Numéro 2, 2015, ISSN 2296-9144
Éditeur: Frontiers
DOI: 10.3389/frobt.2015.00004

Many regression algorithms, one unified model: A review

Auteurs: Freek Stulp, Olivier Sigaud
Publié dans: Neural Networks, Numéro 69, 2015, Page(s) 60-79, ISSN 0893-6080
Éditeur: Pergamon Press Ltd.
DOI: 10.1016/j.neunet.2015.05.005

Contextual modulation of value signals in reward and punishment learning

Auteurs: Stefano Palminteri, Mehdi Khamassi, Mateus Joffily, Giorgio Coricelli
Publié dans: Nature Communications, Numéro 6, 2015, Page(s) 8096, ISSN 2041-1723
Éditeur: Nature Publishing Group
DOI: 10.1038/ncomms9096

An evolutionary approach to constrained sampling optimization problems

Auteurs: P. Caama?o, G. Varela, R.J. Duro
Publié dans: Applied Soft Computing, Numéro 51, 2017, Page(s) 266-279, ISSN 1568-4946
Éditeur: Elsevier BV
DOI: 10.1016/j.asoc.2016.12.002

Motivational engine with autonomous sub-goal identification for the Multilevel Darwinist Brain

Auteurs: R. Salgado, A. Prieto, F. Bellas, L. Calvo-Varela, R.J. Duro
Publié dans: Biologically Inspired Cognitive Architectures, Numéro 17, 2016, Page(s) 1-11, ISSN 2212-683X
Éditeur: Elsevier BV
DOI: 10.1016/j.bica.2016.07.003

Real-time optimization of dynamic problems through distributed Embodied Evolution

Auteurs: Abraham Prieto, F. Bellas, P. Trueba, R.J. Duro
Publié dans: Integrated Computer-Aided Engineering, Numéro 23/3, 2016, Page(s) 237-253, ISSN 1069-2509
Éditeur: IOS Press
DOI: 10.3233/ICA-160522

Introducing Synaptic Delays in the NEAT Algorithm to Improve Modelling in Cognitive Robotics

Auteurs: P. Caama?o, R. Salgado, F. Bellas, R. J. Duro
Publié dans: Neural Processing Letters, Numéro 43/2, 2016, Page(s) 479-504, ISSN 1370-4621
Éditeur: Kluwer Academic Publishers
DOI: 10.1007/s11063-015-9426-5

Quantifying Selection Pressure

Auteurs: Evert Haasdijk, Jacqueline Heinerman
Publié dans: Evolutionary Computation, 2017, ISSN 1063-6560
Éditeur: MIT Press
DOI: 10.1162/EVCO_a_00207

Unsupervised identification and recognition of situations for high-dimensional sensori-motor streams

Auteurs: Jacqueline Heinerman, Evert Haasdijk, A.E. Eiben
Publié dans: Neurocomputing, 2017, ISSN 0925-2312
Éditeur: Elsevier BV
DOI: 10.1016/j.neucom.2017.02.090

To Cooperate or Not to Cooperate: Why Behavioural Mechanisms Matter

Auteurs: Arthur Bernard, Jean-Baptiste André, Nicolas Bredeche
Publié dans: PLOS Computational Biology, Numéro 12/5, 2016, Page(s) e1004886, ISSN 1553-7358
Éditeur: -
DOI: 10.1371/journal.pcbi.1004886

Bootstrapping Q-Learning for Robotics from Neuro-Evolution Results

Auteurs: Matthieu Zimmer, Stephane Doncieux
Publié dans: IEEE Transactions on Cognitive and Developmental Systems, 2017, Page(s) 1-1, ISSN 2379-8920
Éditeur: IEEE
DOI: 10.1109/TCDS.2016.2628817

Towards Deep Developmental Learning

Auteurs: Olivier Sigaud, Alain Droniou
Publié dans: IEEE Transactions on Cognitive and Developmental Systems, Numéro 8/2, 2016, Page(s) 99-114, ISSN 2379-8920
Éditeur: IEEE
DOI: 10.1109/TAMD.2015.2496248

Behavioral Specialization in Embodied Evolutionary Robotics: Why So Difficult?

Auteurs: Jean-Marc Montanier, Simon Carrignon, Nicolas Bredeche
Publié dans: Frontiers in Robotics and AI, Numéro 3, 2016, ISSN 2296-9144
Éditeur: -
DOI: 10.3389/frobt.2016.00038

When and where to transfer for Bayesian network parameter learning

Auteurs: Yun Zhou, Timothy M. Hospedales, Norman Fenton
Publié dans: Expert Systems with Applications, Numéro 55, 2016, Page(s) 361-373, ISSN 0957-4174
Éditeur: Pergamon Press Ltd.
DOI: 10.1016/j.eswa.2016.02.011

Conference proceedings (32)

Facilitating intention prediction for humans by optimizing robot motions

Auteurs: Freek Stulp, Jonathan Grizou, Baptiste Busch, Manuel Lopes
Publié dans: 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2015, Page(s) 1249-1255, ISBN 978-1-4799-9994-1
Éditeur: IEEE
DOI: 10.1109/IROS.2015.7353529

Bootstrapping interactions with objects from raw sensorimotor data: A novelty search based approach

Auteurs: Carlos Maestre, Antoine Cully, Christophe Gonzales, Stephane Doncieux
Publié dans: 2015 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob), 2015, Page(s) 7-12, ISBN 978-1-4673-9320-1
Éditeur: IEEE
DOI: 10.1109/DEVLRN.2015.7346098

Sketch-a-Net that Beats Humans

Auteurs: Qian Yu, Yongxin Yang, Yi-Zhe Song, Tao Xiang, Timothy Hospedales
Publié dans: Procedings of the British Machine Vision Conference 2015, 2015, Page(s) 7.1-7.12, ISBN 1-901725-53-7
Éditeur: British Machine Vision Association
DOI: 10.5244/C.29.7

Applying the canonical distributed Embodied Evolution algorithm in a collective indoor navigation task

Auteurs: P. Trueba, A. Prieto, F. Bellas, R.J. Duro
Publié dans: 2015 International Joint Conference on Neural Networks (IJCNN), 2015, Page(s) 1-8, ISBN 978-1-4799-1960-4
Éditeur: IEEE
DOI: 10.1109/IJCNN.2015.7280807

Evolution, Individual Learning, and Social Learning in a Swarm of Real Robots

Auteurs: Jacqueline Heinerman, Massimiliano Rango, A.E. Eiben
Publié dans: 2015 IEEE Symposium Series on Computational Intelligence, 2015, Page(s) 1055-1062, ISBN 978-1-4799-7560-0
Éditeur: IEEE
DOI: 10.1109/SSCI.2015.152

Three-fold Adaptivity in Groups of Robots - The Effect of Social Learning

Auteurs: Jacqueline Heinerman, Dexter Drupsteen, A.E. Eiben
Publié dans: Proceedings of the 2015 on Genetic and Evolutionary Computation Conference - GECCO '15, 2015, Page(s) 177-183, ISBN 9781-450334723
Éditeur: ACM Press
DOI: 10.1145/2739480.2754743

Improving the performance of evolutionary algorithms by soft-constraining their sampling capabilities

Auteurs: P. Caamano, G. Varela, R.J. Duro
Publié dans: 2015 IEEE Congress on Evolutionary Computation (CEC), 2015, Page(s) 1319-1326, ISBN 978-1-4799-7492-4
Éditeur: IEEE
DOI: 10.1109/CEC.2015.7257041

When Face Recognition Meets with Deep Learning: an Evaluation of Convolutional Neural Networks for Face Recognition

Auteurs: G. Hu, Y. Yang, D. Yi, J. Kittler, W. Christmas, S. Z. Li, T. Hospedales
Publié dans: ICCV Workshop ChaLearn Looking at People, 2015
Éditeur: IEEE

Probabilistic Graphical Models Parameter Learning with Transferred Prior and Constraints

Auteurs: Yun Zhou, Norman Fenton, Timothy M. Hospedales and Martin Neil
Publié dans: Uncertainty in Artificial Intelligence, 2015, Page(s) 972-981
Éditeur: AUAI Press

Evolution of Cooperation in Evolutionary Robotics: the Tradeoff between Evolvability and Efficiency

Auteurs: Arthur Bernard, Jean-Baptiste André, Nicolas Bredeche
Publié dans: 07/20/2015-07/24/2015, 2015, Page(s) 495-502, ISBN 9780-262330275
Éditeur: The MIT Press
DOI: 10.7551/978-0-262-33027-5-ch087

Visual saliency-based babbling of unknown dynamic environments (extended abstract)

Auteurs: Legoff, L. and Maestre, C. and Doncieux, S.
Publié dans: Learning Object Affordances Workshop, IROS 2015, 2015
Éditeur: Jamone, L. et al.

Learning a high diversity of object manipulations though an evolutionary-based babbling (extended abstract)

Auteurs: Ecarlat, P. and Cully, A. and Maestre, C. and Doncieux, S.
Publié dans: Learning Object Affordances Workshop, IROS 2015, 2015
Éditeur: Jamone, L. et al.

Multivariate Regression on the Grassmannian for Predicting Novel Domains

Auteurs: Yongxin Yang, Timothy M. Hospedales
Publié dans: 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016, Page(s) 5071-5080, ISBN 978-1-4673-8851-1
Éditeur: IEEE
DOI: 10.1109/CVPR.2016.548

Deep Multi-task Representation Learning: A Tensor Factorisation Approach

Auteurs: YANG, Yongxin et HOSPEDALES, Timothy
Publié dans: Proceedings of ICLR, 2017
Éditeur: arxiv

Tensor Based Knowledge Transfer Across Skill Categories for Robot Control

Auteurs: C. Zhao, T. Hospedales, F. Stulp, O. Sigaud
Publié dans: Proceedings of IJCAI 2017, 2017
Éditeur: AAAI Press

Multilevel Darwinist Brain: Context Nodes in a Network Memory Inspired Long Term Memory

Auteurs: Richard J. Duro, Jose A. Becerra, Juan Monroy, Luis Calvo
Publié dans: 2017, Page(s) 22-31
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-319-59740-9_3

Embodied Evolution versus Cooperative Coevolution in Multi-Robot Optimization: a practical comparison

Auteurs: P. Trueba, A. Prieto, F. Bellas
Publié dans: Proceedings GECCO 2017, 2017
Éditeur: ACM

Motivational Engine for Cognitive Robotics in Non-Static Tasks

Auteurs: Rodrigo Salgado, Abraham Prieto, Francisco Bellas, Richard J. Duro
Publié dans: Lecture Notes in Computer Science, Numéro 10337, 2017, Page(s) 32-42
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-319-59740-9_4

The Robobo Project: Bringing Educational Robotics Closer to Real-World Applications

Auteurs: F. Bellas, M. Naya, G. Varela, L. Llamas, A. Prieto, J.C. Becerra, M. Bautista, A. Faiña, R.J. Duro
Publié dans: Proceedings 8th International Conference on Robotics in Education (RIE 2017), 2017
Éditeur: Springer

Improving extrinsically motivated developmental robots through intrinsic motivations

Auteurs: Rodrigo Salgado, Abraham Prieto, Francisco Bellas, Richard J. Duro
Publié dans: 2016 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob), 2016, Page(s) 154-155, ISBN 978-1-5090-5069-7
Éditeur: IEEE
DOI: 10.1109/DEVLRN.2016.7846809

Considering Memory Networks in the LTM Structure of the Multilevel Darwinist Brain

Auteurs: Richard J. Duro, Jos? Antonio Becerra, Juan Monroy, Pilar Caamano
Publié dans: Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion - GECCO '16 Companion, 2016, Page(s) 1057-1060, ISBN 9781-450343237
Éditeur: ACM Press
DOI: 10.1145/2908961.2931674

MotivEn: Motivational engine with sub-goal identification for autonomous robots

Auteurs: Rodrigo Salgado, Abraham Prieto, Pilar Caamano, Francisco Bellas, Richard J. Duro
Publié dans: 2016 IEEE Congress on Evolutionary Computation (CEC), 2016, Page(s) 4887-4894, ISBN 978-1-5090-0623-6
Éditeur: IEEE
DOI: 10.1109/CEC.2016.7744417

How Complexity Pervades Specialization in Canonical Embodied Evolution

Auteurs: Pedro Trueba, Abraham Prieto, Francisco Bellas, Richard J. Duro
Publié dans: Proceedings of the Artificial Life Conference 2016, 2016, Page(s) 123-130, ISBN 978-0-262-33936-0
Éditeur: MIT Press
DOI: 10.7551/978-0-262-33936-0-ch026

Motivational Engine with Sub-Goal Identification in Neuroevolution based Cognitive Robotics

Auteurs: Rodrigo Salgado, Abraham Prieto, Pilar Caama?o, Francisco Bellas, Richard J. Duro
Publié dans: Lecture Notes in Computer Science, Numéro 9648, 2016, Page(s) 659-670
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-319-32034-2_55

On-line Evolution of Foraging Behaviour in a Population of Real Robots

Auteurs: Jacqueline Heinerman, Alessandro Zonta, Evert Haasdijk, A. E. Eiben
Publié dans: Applications of Evolutionary Computation, 2016, Page(s) 198-212
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-319-31153-1_14

Is Social Learning More Than Parameter Tuning?

Auteurs: Heinerman, J., Stork, J., Rebolledo, M., Hubert, J., Eiben, A.E., Bartz-Beielstein, T., Haasdijk, E.
Publié dans: Proceedings of the 18th annual conference on Genetic and evolutionary computation, 2017
Éditeur: ACM
DOI: 10.1145/3067695.3076059

Can Social Learning Increase Learning Speed, Performance or Both?

Auteurs: Heinerman, J., Stork, J., Rebolledo, M., Hubert, J., Eiben, A.E., Bartz-Beielstein, T., Haasdijk, E.
Publié dans: Proceedings of the European Conference on Artificial Life, 2017
Éditeur: -

An iterative algorithm for forward-parameterized skill discovery

Auteurs: Adrien Matricon, David Filliat, Pierre-Yves Oudeyer
Publié dans: 2016 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob), 2016, Page(s) 186-192, ISBN 978-1-5090-5069-7
Éditeur: IEEE
DOI: 10.1109/DEVLRN.2016.7846816

Segmenting Objects through an Autonomous Agnostic Exploration Conducted by a Robot

Auteurs: Leni K. Le Goff, Ghanim Mukhtar, Pierre-Henri Le Fur, Stephane Doncieux
Publié dans: 2017 First IEEE International Conference on Robotic Computing (IRC), 2017, Page(s) 284-291, ISBN 978-1-5090-6724-4
Éditeur: IEEE
DOI: 10.1109/IRC.2017.22

Evolving Specialisation in a Population of Heterogeneous Robots: the Challenge of Bootstrapping and Maintaining Genotypic Polymorphism

Auteurs: Arthur Bernard, Jean-Baptiste Andr, Nicolas Bredeche
Publié dans: Proceedings of the Artificial Life Conference 2016, 2016, Page(s) 152-159, ISBN 978-0-262-33936-0
Éditeur: MIT Press
DOI: 10.7551/978-0-262-33936-0-ch032

Gated Neural Networks for Option Pricing: Rationality by Design

Auteurs: Y. Yang, Y. Zheng, T. M. Hospedales
Publié dans: AAAI Conference on Artificial Intelligence, 2017
Éditeur: -

Sketch Me That Shoe

Auteurs: Qian Yu, Feng Liu, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales, Chen-Change Loy
Publié dans: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016, Page(s) 799-807
Éditeur: Computer Vision Foundation

Book chapters (3)

Autonomous Learning of Procedural Knowledge in an Evolutionary Cognitive Architecture for Robots

Auteurs: Rodrigo Salgado, Francisco Bellas, Richard J. Duro
Publié dans: Applications of Evolutionary Computation, 2015, Page(s) 807-818, ISBN 978-3-319-16549-3
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-319-16549-3_65

Embodied Evolution for Collective Indoor Surveillance and Location

Auteurs: Pedro Trueba, Abraham Prieto, Francisco Bellas, Richard J. Duro
Publié dans: Bioinspired Computation in Artificial Systems, 2015, Page(s) 138-147, ISBN 978-3-319-18833-1
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-319-18833-1_15

Studying the Coupled Learning of Procedural and Declarative Knowledge in Cognitive Robotics

Auteurs: Rodrigo Salgado, Francisco Bellas, Richard J. Duro
Publié dans: Biomimetic and Biohybrid Systems, 2015, Page(s) 304-315, ISBN 978-3-319-22979-9
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-319-22979-9_30