Autonomous reinforcement of behavioral sequences in neural dynamics

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

doi:10.1109/DevLrn.2012.6400831

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 proceeding › Conference contribution

2 Scopus citations

Abstract

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 language	English (US)
Title of host publication	2012 IEEE International Conference on Development and Learning and Epigenetic Robotics, ICDL 2012
DOIs	https://doi.org/10.1109/DevLrn.2012.6400831
State	Published - Dec 1 2012
Externally published	Yes

Access to Document

10.1109/DevLrn.2012.6400831

Cite this

@inproceedings{acba0024294e418794a2bc4e5e977b09,

title = "Autonomous reinforcement of behavioral sequences in neural dynamics",

abstract = "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. {\textcopyright} 2012 IEEE.",

author = "Sohrob Kazerounian and Matthew Luciw and Yulia Sandamirskaya and Mathis Richter and J{\"u}rgen Schmidhuber and Gregor Sch{\"o}ner",

note = "Generated from Scopus record by KAUST IRTS on 2022-09-14",

year = "2012",

month = dec,

day = "1",

doi = "10.1109/DevLrn.2012.6400831",

language = "English (US)",

isbn = "9781467349635",

booktitle = "2012 IEEE International Conference on Development and Learning and Epigenetic Robotics, ICDL 2012",

}

TY - GEN

T1 - Autonomous reinforcement of behavioral sequences in neural dynamics

AU - Kazerounian, Sohrob

AU - Luciw, Matthew

AU - Sandamirskaya, Yulia

AU - Richter, Mathis

AU - Schmidhuber, Jürgen

AU - Schöner, Gregor

N1 - Generated from Scopus record by KAUST IRTS on 2022-09-14

PY - 2012/12/1

Y1 - 2012/12/1

N2 - 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.

AB - 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.

UR - http://ieeexplore.ieee.org/document/6400831/

UR - http://www.scopus.com/inward/record.url?scp=84872856303&partnerID=8YFLogxK

U2 - 10.1109/DevLrn.2012.6400831

DO - 10.1109/DevLrn.2012.6400831

M3 - Conference contribution

SN - 9781467349635

BT - 2012 IEEE International Conference on Development and Learning and Epigenetic Robotics, ICDL 2012

ER -

Autonomous reinforcement of behavioral sequences in neural dynamics

Abstract

Access to Document

Other files and links

Fingerprint

Cite this