Matthew D. Luciw

According to our database1, Matthew D. Luciw authored at least 33 papers between 2006 and 2017.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2017
Continual curiosity-driven skill acquisition from high-dimensional video inputs for humanoid robots.
Artif. Intell., 2017

2016
Optimal Curiosity-Driven Modular Incremental Slow Feature Analysis.
Neural Comput., 2016

2015
Learning the Condition of Satisfaction of an Elementary Behavior in Dynamic Field Theory.
Paladyn J. Behav. Robotics, 2015

2014
Efficient Interactive Multiclass Learning from Binary Feedback.
ACM Trans. Interact. Intell. Syst., 2014

Brain-Inspired Concept Networks: Learning Concepts from Cluttered Scenes.
IEEE Intell. Syst., 2014

Reinforcement-Driven Shaping of Sequence Learning in Neural Dynamics.
Proceedings of the From Animals to Animats 13, 2014

Explore to see, learn to perceive, get the actions for free: SKILLABILITY.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Reinforcement and shaping in learning action sequences with neural dynamics.
Proceedings of the 4th International Conference on Development and Learning and on Epigenetic Robotics, 2014

2013
Brain-Like Emergent Temporal Processing: Emergent Open States.
IEEE Trans. Auton. Ment. Dev., 2013

An intrinsic value system for developing multiple invariant representations with incremental slowness learning.
Frontiers Neurorobotics, 2013

Autonomous reinforcement of behavioral sequences in neural dynamics.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Upper Confidence Weighted Learning for Efficient Exploration in Multiclass Prediction with Binary Feedback.
Proceedings of the IJCAI 2013, 2013

2012
Brain-Like Emergent Spatial Processing.
IEEE Trans. Auton. Ment. Dev., 2012

Incremental Slow Feature Analysis: Adaptive Low-Complexity Slow Feature Updating from High-Dimensional Input Streams.
Neural Comput., 2012

Learning skills from play: Artificial curiosity on a Katana robot arm.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Autonomous learning of abstractions using Curiosity-Driven Modular Incremental Slow Feature Analysis.
Proceedings of the 2012 IEEE International Conference on Development and Learning and Epigenetic Robotics, 2012

Autonomous reinforcement of behavioral sequences in neural dynamics.
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.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

Modular Value Iteration through Regional Decomposition.
Proceedings of the Artificial General Intelligence - 5th International Conference, 2012

2011
Incremental Online Object Learning in a Vehicular Radar-Vision Fusion Framework.
IEEE Trans. Intell. Transp. Syst., 2011

Incremental Slow Feature Analysis: Adaptive and Episodic Learning from High-Dimensional Input Streams
CoRR, 2011

Incremental Slow Feature Analysis.
Proceedings of the IJCAI 2011, 2011

Artificial curiosity with planning for autonomous perceptual and cognitive development.
Proceedings of the 1st International Conference on Development and Learning and on Epigenetic Robotics, 2011

Intrinsically motivated neuroevolution for vision-based reinforcement learning.
Proceedings of the 1st International Conference on Development and Learning and on Epigenetic Robotics, 2011

Sequential Constant Size Compressors for Reinforcement Learning.
Proceedings of the Artificial General Intelligence - 4th International Conference, 2011

2010
Top-Down Connections in Self-Organizing Hebbian Networks: Topographic Class Grouping.
IEEE Trans. Auton. Ment. Dev., 2010

Where-What Network 3: Developmental top-down attention for multiple foregrounds and complex backgrounds.
Proceedings of the International Joint Conference on Neural Networks, 2010

Where-what network-4: The effect of multiple internal areas.
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.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009
Dually Optimal Neuronal Layers: Lobe Component Analysis.
IEEE Trans. Auton. Ment. Dev., 2009

2008
Topographic Class Grouping with applications to 3D object recognition.
Proceedings of the International Joint Conference on Neural Networks, 2008

Epigenetic sensorimotor pathways and its application to developmental object learning.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2006
Building blocks of development [robot learning].
IEEE Comput. Intell. Mag., 2006


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