Matthew D. Luciw

According to our database, Matthew D. Luciw authored at least 33 papers between 2006 and 2017.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2017

Continual curiosity-driven skill acquisition from high-dimensional video inputs for humanoid robots.

Varun Raj Kompella, Marijn F. Stollenga, Matthew D. Luciw, Jürgen Schmidhuber

Artif. Intell., 2017

2016

Optimal Curiosity-Driven Modular Incremental Slow Feature Analysis.

Varun Raj Kompella, Matthew D. Luciw, Marijn F. Stollenga, Jürgen Schmidhuber

Neural Comput., 2016

2015

Learning the Condition of Satisfaction of an Elementary Behavior in Dynamic Field Theory.

Matthew D. Luciw, Sohrob Kazerounian, Konstantin Lahkman, Mathis Richter, Yulia Sandamirskaya

Paladyn J. Behav. Robotics, 2015

2014

Efficient Interactive Multiclass Learning from Binary Feedback.

Hung Quoc Ngo, Matthew D. Luciw, Jawad Nagi, Alexander Förster, Jürgen Schmidhuber, Ngo Anh Vien

ACM Trans. Interact. Intell. Syst., 2014

Brain-Inspired Concept Networks: Learning Concepts from Cluttered Scenes.

Juyang Weng, Matthew D. Luciw

IEEE Intell. Syst., 2014

Reinforcement-Driven Shaping of Sequence Learning in Neural Dynamics.

Matthew D. Luciw, Sohrob Kazerounian, Yulia Sandamirskaya, Gregor Schöner, Jürgen Schmidhuber

Proceedings of the From Animals to Animats 13, 2014

Explore to see, learn to perceive, get the actions for free: SKILLABILITY.

Varun Raj Kompella, Marijn F. Stollenga, Matthew D. Luciw, Jürgen Schmidhuber

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Reinforcement and shaping in learning action sequences with neural dynamics.

Matthew D. Luciw, Yulia Sandamirskaya, Sohrob Kazerounian, Jürgen Schmidhuber, Gregor Schöner

Proceedings of the 4th International Conference on Development and Learning and on Epigenetic Robotics, 2014

2013

Brain-Like Emergent Temporal Processing: Emergent Open States.

Juyang Weng, Matthew D. Luciw, Qi Zhang

IEEE Trans. Auton. Ment. Dev., 2013

An intrinsic value system for developing multiple invariant representations with incremental slowness learning.

Matthew D. Luciw, Varun Raj Kompella, Sohrob Kazerounian, Jürgen Schmidhuber

Frontiers Neurorobotics, 2013

Autonomous reinforcement of behavioral sequences in neural dynamics.

Sohrob Kazerounian, Matthew D. Luciw, Mathis Richter, Yulia Sandamirskaya

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Upper Confidence Weighted Learning for Efficient Exploration in Multiclass Prediction with Binary Feedback.

Hung Quoc Ngo, Matthew David Luciw, Ngo Anh Vien, Jürgen Schmidhuber

Proceedings of the IJCAI 2013, 2013

2012

Brain-Like Emergent Spatial Processing.

Juyang Weng, Matthew D. Luciw

IEEE Trans. Auton. Ment. Dev., 2012

Incremental Slow Feature Analysis: Adaptive Low-Complexity Slow Feature Updating from High-Dimensional Input Streams.

Varun Raj Kompella, Matthew D. Luciw, Jürgen Schmidhuber

Neural Comput., 2012

Learning skills from play: Artificial curiosity on a Katana robot arm.

Hung Quoc Ngo, Matthew D. Luciw, Alexander Förster, Jürgen Schmidhuber

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Autonomous learning of abstractions using Curiosity-Driven Modular Incremental Slow Feature Analysis.

Varun Raj Kompella, Matthew D. Luciw, Marijn F. Stollenga, Leo Pape, Jürgen Schmidhuber

Proceedings of the 2012 IEEE International Conference on Development and Learning and Epigenetic Robotics, 2012

Autonomous reinforcement of behavioral sequences in neural dynamics.

Sohrob Kazerounian, Matthew D. Luciw, Yulia Sandamirskaya, Mathis Richter, Jürgen Schmidhuber, Gregor Schöner

Proceedings of the 2012 IEEE International Conference on Development and Learning and Epigenetic Robotics, 2012

Low Complexity Proto-Value Function Learning from Sensory Observations with Incremental Slow Feature Analysis.

Matthew D. Luciw, Jürgen Schmidhuber

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

Modular Value Iteration through Regional Decomposition.

Linus Gisslén, Mark B. Ring, Matthew D. Luciw, Jürgen Schmidhuber

Proceedings of the Artificial General Intelligence - 5th International Conference, 2012

2011

Incremental Online Object Learning in a Vehicular Radar-Vision Fusion Framework.

Zhengping Ji, Matthew D. Luciw, Juyang Weng, Shuqing Zeng

IEEE Trans. Intell. Transp. Syst., 2011

Incremental Slow Feature Analysis: Adaptive and Episodic Learning from High-Dimensional Input Streams

Varun Raj Kompella, Matthew D. Luciw, Jürgen Schmidhuber

CoRR, 2011

Incremental Slow Feature Analysis.

Varun Raj Kompella, Matthew D. Luciw, Jürgen Schmidhuber

Proceedings of the IJCAI 2011, 2011

Artificial curiosity with planning for autonomous perceptual and cognitive development.

Matthew D. Luciw, Vincent Graziano, Mark B. Ring, Jürgen Schmidhuber

Proceedings of the 1st International Conference on Development and Learning and on Epigenetic Robotics, 2011

Intrinsically motivated neuroevolution for vision-based reinforcement learning.

Giuseppe Cuccu, Matthew D. Luciw, Jürgen Schmidhuber, Faustino J. Gomez

Proceedings of the 1st International Conference on Development and Learning and on Epigenetic Robotics, 2011

Sequential Constant Size Compressors for Reinforcement Learning.

Linus Gisslén, Matthew D. Luciw, Vincent Graziano, Jürgen Schmidhuber

Proceedings of the Artificial General Intelligence - 4th International Conference, 2011

2010

Top-Down Connections in Self-Organizing Hebbian Networks: Topographic Class Grouping.

Matthew D. Luciw, Juyang Weng

IEEE Trans. Auton. Ment. Dev., 2010

Where-What Network 3: Developmental top-down attention for multiple foregrounds and complex backgrounds.

Matthew D. Luciw, Juyang Weng

Proceedings of the International Joint Conference on Neural Networks, 2010

Where-what network-4: The effect of multiple internal areas.

Matthew D. Luciw, Juyang Weng

Proceedings of the 2010 IEEE 9th International Conference on Development and Learning, 2010

Online learning for attention, recognition, and tracking by a single developmental framework.

Juyang Weng, Matthew D. Luciw

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009

Dually Optimal Neuronal Layers: Lobe Component Analysis.

Juyang Weng, Matthew D. Luciw

IEEE Trans. Auton. Ment. Dev., 2009

2008

Topographic Class Grouping with applications to 3D object recognition.

Matthew D. Luciw, Juyang Weng

Proceedings of the International Joint Conference on Neural Networks, 2008

Epigenetic sensorimotor pathways and its application to developmental object learning.

Zhengping Ji, Matthew D. Luciw, Juyang Weng

Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2006

Building blocks of development [robot learning].

Matthew D. Luciw, Jhengping Zi

IEEE Comput. Intell. Mag., 2006