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Items: 24

1.

Preventing undesirable behavior of intelligent machines.

Thomas PS, Castro da Silva B, Barto AG, Giguere S, Brun Y, Brunskill E.

Science. 2019 Nov 22;366(6468):999-1004. doi: 10.1126/science.aag3311.

PMID:
31754000
2.

Enriching behavioral ecology with reinforcement learning methods.

Frankenhuis WE, Panchanathan K, Barto AG.

Behav Processes. 2019 Apr;161:94-100. doi: 10.1016/j.beproc.2018.01.008. Epub 2018 Feb 13. Review.

3.

Optimal behavioral hierarchy.

Solway A, Diuk C, Córdova N, Yee D, Barto AG, Niv Y, Botvinick MM.

PLoS Comput Biol. 2014 Aug 14;10(8):e1003779. doi: 10.1371/journal.pcbi.1003779. eCollection 2014 Aug.

4.

Commentary on utility and bounds.

Barto AG.

Top Cogn Sci. 2014 Apr;6(2):338-41. doi: 10.1111/tops.12090. No abstract available.

5.

A computational hypothesis for allostasis: delineation of substance dependence, conventional therapies, and alternative treatments.

Levy YZ, Levy DJ, Barto AG, Meyer JS.

Front Psychiatry. 2013 Dec 19;4:167. doi: 10.3389/fpsyt.2013.00167. Review.

6.

A dual process account of coarticulation in motor skill acquisition.

Shah A, Barto AG, Fagg AH.

J Mot Behav. 2013;45(6):531-49. doi: 10.1080/00222895.2013.837423. Epub 2013 Oct 11.

PMID:
24116847
7.

A neural signature of hierarchical reinforcement learning.

Ribas-Fernandes JJ, Solway A, Diuk C, McGuire JT, Barto AG, Niv Y, Botvinick MM.

Neuron. 2011 Jul 28;71(2):370-9. doi: 10.1016/j.neuron.2011.05.042.

8.

Effect on movement selection of an evolving sensory representation: a multiple controller model of skill acquisition.

Shah A, Barto AG.

Brain Res. 2009 Nov 24;1299:55-73. doi: 10.1016/j.brainres.2009.07.006. Epub 2009 Jul 24.

9.

Hierarchically organized behavior and its neural foundations: a reinforcement learning perspective.

Botvinick MM, Niv Y, Barto AG.

Cognition. 2009 Dec;113(3):262-280. doi: 10.1016/j.cognition.2008.08.011. Epub 2008 Oct 15. Review.

10.

Approximate optimal control as a model for motor learning.

Berthier NE, Rosenstein MT, Barto AG.

Psychol Rev. 2005 Apr;112(2):329-46.

PMID:
15783289
11.

Cortical involvement in the recruitment of wrist muscles.

Shah A, Fagg AH, Barto AG.

J Neurophysiol. 2004 Jun;91(6):2445-56. Epub 2004 Jan 28.

12.

A computational model of muscle recruitment for wrist movements.

Fagg AH, Shah A, Barto AG.

J Neurophysiol. 2002 Dec;88(6):3348-58.

13.

A cerebellar model of timing and prediction in the control of reaching.

Barto AG, Fagg AH, Sitkoff N, Houk JC.

Neural Comput. 1999 Apr 1;11(3):565-94. Review.

PMID:
10085421
14.

Prediction of complex two-dimensional trajectories by a cerebellar model of smooth pursuit eye movement.

Kettner RE, Mahamud S, Leung HC, Sitkoff N, Houk JC, Peterson BW, Barto AG.

J Neurophysiol. 1997 Apr;77(4):2115-30.

15.

Reinforcement learning control.

Barto AG.

Curr Opin Neurobiol. 1994 Dec;4(6):888-93. Review.

PMID:
7888773
16.

Distributed representation of limb motor programs in arrays of adjustable pattern generators.

Berthier NE, Singh SP, Barto AG, Houk JC.

J Cogn Neurosci. 1993 Winter;5(1):56-78. doi: 10.1162/jocn.1993.5.1.56.

PMID:
23972120
17.

Distributed motor commands in the limb premotor network.

Houk JC, Keifer J, Barto AG.

Trends Neurosci. 1993 Jan;16(1):27-33. Review.

PMID:
7679234
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Synthesis of nonlinear control surfaces by a layered associative search network.

Barto AG, Anderson CW, Sutton RS.

Biol Cybern. 1982;43(3):175-85.

PMID:
7093360
23.

Toward a modern theory of adaptive networks: expectation and prediction.

Sutton RS, Barto AG.

Psychol Rev. 1981 Mar;88(2):135-70. No abstract available.

PMID:
7291377
24.

Landmark learning: an illustration of associative search.

Barto AG, Sutton RS.

Biol Cybern. 1981;42(1):1-8.

PMID:
7326277

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