Autonomous reinforcement of behavioral sequences in neural dynamics

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations


The DN-SARSA(λ) model provides a framework which shows how computational learning algorithms can be incorporated into a continuous neural-dynamical model. This enables autonomous learning and acting in continuous and dynamic environments, a challenge that is easily overlooked when formalizing the learning problem in discretized spaces without accounting for their coupling to sensory-motor dynamics. © 2012 IEEE.
Original languageEnglish (US)
Title of host publication2012 IEEE International Conference on Development and Learning and Epigenetic Robotics, ICDL 2012
StatePublished - Dec 1 2012
Externally publishedYes


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