Matthew D. Luciw

Publication Activity (10 Years)

Years Active: 2006-2017
Publications (10 Years): 2

Top Topics

Cluttered Scenes

Invariant Representations

Action Sequences

Top Venues

IEEE Trans. Auton. Ment. Dev.

Publications

Varun Raj Kompella, Marijn F. Stollenga, Matthew D. Luciw, Jürgen Schmidhuber
Continual curiosity-driven skill acquisition from high-dimensional video inputs for humanoid robots. Artif. Intell. 247 (2017)
Varun Raj Kompella, Matthew D. Luciw, Marijn F. Stollenga, Jürgen Schmidhuber
Optimal Curiosity-Driven Modular Incremental Slow Feature Analysis. Neural Comput. 28 (8) (2016)
Matthew D. Luciw, Sohrob Kazerounian, Konstantin Lahkman, Mathis Richter, Yulia Sandamirskaya
Learning the Condition of Satisfaction of an Elementary Behavior in Dynamic Field Theory. Paladyn J. Behav. Robotics 6 (1) (2015)
Juyang Weng, Matthew D. Luciw
Brain-Inspired Concept Networks: Learning Concepts from Cluttered Scenes. IEEE Intell. Syst. 29 (6) (2014)
Matthew D. Luciw, Sohrob Kazerounian, Yulia Sandamirskaya, Gregor Schöner, Jürgen Schmidhuber
Reinforcement-Driven Shaping of Sequence Learning in Neural Dynamics. SAB (2014)
Matthew D. Luciw, Yulia Sandamirskaya, Sohrob Kazerounian, Jürgen Schmidhuber, Gregor Schöner
Reinforcement and shaping in learning action sequences with neural dynamics. ICDL-EPIROB (2014)
Hung Quoc Ngo, Matthew D. Luciw, Jawad Nagi, Alexander Förster, Jürgen Schmidhuber, Ngo Anh Vien
Efficient Interactive Multiclass Learning from Binary Feedback. ACM Trans. Interact. Intell. Syst. 4 (3) (2014)
Varun Raj Kompella, Marijn F. Stollenga, Matthew D. Luciw, Jürgen Schmidhuber
Explore to see, learn to perceive, get the actions for free: SKILLABILITY. IJCNN (2014)
Sohrob Kazerounian, Matthew D. Luciw, Mathis Richter, Yulia Sandamirskaya
Autonomous reinforcement of behavioral sequences in neural dynamics. IJCNN (2013)
Juyang Weng, Matthew D. Luciw, Qi Zhang
Brain-Like Emergent Temporal Processing: Emergent Open States. IEEE Trans. Auton. Ment. Dev. 5 (2) (2013)
Matthew D. Luciw, Varun Raj Kompella, Sohrob Kazerounian, Jürgen Schmidhuber
An intrinsic value system for developing multiple invariant representations with incremental slowness learning. Frontiers Neurorobotics 7 (2013)
Linus Gisslén, Mark B. Ring, Matthew D. Luciw, Jürgen Schmidhuber
Modular Value Iteration through Regional Decomposition. AGI (2012)
Varun Raj Kompella, Matthew D. Luciw, Marijn F. Stollenga, Leo Pape, Jürgen Schmidhuber
Autonomous learning of abstractions using Curiosity-Driven Modular Incremental Slow Feature Analysis. ICDL-EPIROB (2012)
Sohrob Kazerounian, Matthew D. Luciw, Yulia Sandamirskaya, Mathis Richter, Jürgen Schmidhuber, Gregor Schöner
Autonomous reinforcement of behavioral sequences in neural dynamics. ICDL-EPIROB (2012)
Matthew D. Luciw, Jürgen Schmidhuber
Low Complexity Proto-Value Function Learning from Sensory Observations with Incremental Slow Feature Analysis. ICANN (2) (2012)
Juyang Weng, Matthew D. Luciw
Brain-Like Emergent Spatial Processing. IEEE Trans. Auton. Ment. Dev. 4 (2) (2012)
Varun Raj Kompella, Matthew D. Luciw, Jürgen Schmidhuber
Incremental Slow Feature Analysis: Adaptive Low-Complexity Slow Feature Updating from High-Dimensional Input Streams. Neural Comput. 24 (11) (2012)
Sohrob Kazerounian, Matthew D. Luciw, Mathis Richter, Yulia Sandamirskaya
Autonomous Reinforcement of Behavioral Sequences in Neural Dynamics CoRR (2012)
Hung Quoc Ngo, Matthew D. Luciw, Alexander Förster, Jürgen Schmidhuber
Learning skills from play: Artificial curiosity on a Katana robot arm. IJCNN (2012)
Varun Raj Kompella, Matthew D. Luciw, Jürgen Schmidhuber
Incremental Slow Feature Analysis: Adaptive and Episodic Learning from High-Dimensional Input Streams CoRR (2011)
Varun Raj Kompella, Matthew D. Luciw, Jürgen Schmidhuber
Incremental Slow Feature Analysis. IJCAI (2011)
Linus Gisslén, Matthew D. Luciw, Vincent Graziano, Jürgen Schmidhuber
Sequential Constant Size Compressors for Reinforcement Learning. AGI (2011)
Zhengping Ji, Matthew D. Luciw, Juyang Weng, Shuqing Zeng
Incremental Online Object Learning in a Vehicular Radar-Vision Fusion Framework. IEEE Trans. Intell. Transp. Syst. 12 (2) (2011)
Giuseppe Cuccu, Matthew D. Luciw, Jürgen Schmidhuber, Faustino J. Gomez
Intrinsically motivated neuroevolution for vision-based reinforcement learning. ICDL-EPIROB (2011)
Matthew D. Luciw, Vincent Graziano, Mark B. Ring, Jürgen Schmidhuber
Artificial curiosity with planning for autonomous perceptual and cognitive development. ICDL-EPIROB (2011)
Matthew D. Luciw, Juyang Weng
Top-Down Connections in Self-Organizing Hebbian Networks: Topographic Class Grouping. IEEE Trans. Auton. Ment. Dev. 2 (3) (2010)
Matthew D. Luciw, Juyang Weng
Where-what network-4: The effect of multiple internal areas. ICDL (2010)
Matthew D. Luciw, Juyang Weng
Where-What Network 3: Developmental top-down attention for multiple foregrounds and complex backgrounds. IJCNN (2010)
Juyang Weng, Matthew D. Luciw
Online learning for attention, recognition, and tracking by a single developmental framework. CVPR Workshops (2010)
Juyang Weng, Matthew D. Luciw
Dually Optimal Neuronal Layers: Lobe Component Analysis. IEEE Trans. Auton. Ment. Dev. 1 (1) (2009)
Matthew D. Luciw, Juyang Weng
Topographic Class Grouping with applications to 3D object recognition. IJCNN (2008)
Zhengping Ji, Matthew D. Luciw, Juyang Weng
Epigenetic sensorimotor pathways and its application to developmental object learning. IEEE Congress on Evolutionary Computation (2008)
Matthew D. Luciw, Jhengping Zi
Building blocks of development [robot learning]. IEEE Comput. Intell. Mag. 1 (3) (2006)