Literature DB >> 19584249

How can we learn efficiently to act optimally and flexibly?

Kenji Doya1.   

Abstract

Mesh:

Year:  2009        PMID: 19584249      PMCID: PMC2710651          DOI: 10.1073/pnas.0905423106

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


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  8 in total

1.  Neural correlates of decision variables in parietal cortex.

Authors:  M L Platt; P W Glimcher
Journal:  Nature       Date:  1999-07-15       Impact factor: 49.962

2.  Optimal feedback control as a theory of motor coordination.

Authors:  Emanuel Todorov; Michael I Jordan
Journal:  Nat Neurosci       Date:  2002-11       Impact factor: 24.884

Review 3.  Optimality principles in sensorimotor control.

Authors:  Emanuel Todorov
Journal:  Nat Neurosci       Date:  2004-09       Impact factor: 24.884

Review 4.  Consolidation of motor memory.

Authors:  John W Krakauer; Reza Shadmehr
Journal:  Trends Neurosci       Date:  2005-11-14       Impact factor: 13.837

5.  Representation of action-specific reward values in the striatum.

Authors:  Kazuyuki Samejima; Yasumasa Ueda; Kenji Doya; Minoru Kimura
Journal:  Science       Date:  2005-11-25       Impact factor: 47.728

6.  The primate amygdala represents the positive and negative value of visual stimuli during learning.

Authors:  Joseph J Paton; Marina A Belova; Sara E Morrison; C Daniel Salzman
Journal:  Nature       Date:  2006-02-16       Impact factor: 49.962

7.  Reinforcement learning: Computational theory and biological mechanisms.

Authors:  Kenji Doya
Journal:  HFSP J       Date:  2007-05-08

8.  Efficient computation of optimal actions.

Authors:  Emanuel Todorov
Journal:  Proc Natl Acad Sci U S A       Date:  2009-07-02       Impact factor: 11.205

  8 in total
  3 in total

1.  Passive motion paradigm: an alternative to optimal control.

Authors:  Vishwanathan Mohan; Pietro Morasso
Journal:  Front Neurorobot       Date:  2011-12-27       Impact factor: 2.650

2.  Postural constraints on movement variability.

Authors:  Daniel R Lametti; David J Ostry
Journal:  J Neurophysiol       Date:  2010-06-16       Impact factor: 2.714

3.  Evaluation of linearly solvable Markov decision process with dynamic model learning in a mobile robot navigation task.

Authors:  Ken Kinjo; Eiji Uchibe; Kenji Doya
Journal:  Front Neurorobot       Date:  2013-04-05       Impact factor: 2.650

  3 in total

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