These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


PUBMED FOR HANDHELDS

Journal Abstract Search


210 related items for PubMed ID: 19632087

  • 1. Adaptive dynamic programming approach to experience-based systems identification and control.
    Lendaris GG.
    Neural Netw; 2009; 22(5-6):822-32. PubMed ID: 19632087
    [Abstract] [Full Text] [Related]

  • 2. Higher level application of ADP: a next phase for the control field?
    Lendaris GG.
    IEEE Trans Syst Man Cybern B Cybern; 2008 Aug; 38(4):901-12. PubMed ID: 18632376
    [Abstract] [Full Text] [Related]

  • 3. Improved Adaptive-Reinforcement Learning Control for morphing unmanned air vehicles.
    Valasek J, Doebbler J, Tandale MD, Meade AJ.
    IEEE Trans Syst Man Cybern B Cybern; 2008 Aug; 38(4):1014-20. PubMed ID: 18632393
    [Abstract] [Full Text] [Related]

  • 4. Intelligence in the brain: a theory of how it works and how to build it.
    Werbos PJ.
    Neural Netw; 2009 Apr; 22(3):200-12. PubMed ID: 19386468
    [Abstract] [Full Text] [Related]

  • 5. Adaptive critic learning techniques for engine torque and air-fuel ratio control.
    Liu D, Javaherian H, Kovalenko O, Huang T.
    IEEE Trans Syst Man Cybern B Cybern; 2008 Aug; 38(4):988-93. PubMed ID: 18632389
    [Abstract] [Full Text] [Related]

  • 6. Reinforcement learning for partially observable dynamic processes: adaptive dynamic programming using measured output data.
    Lewis FL, Vamvoudakis KG.
    IEEE Trans Syst Man Cybern B Cybern; 2011 Feb; 41(1):14-25. PubMed ID: 20350860
    [Abstract] [Full Text] [Related]

  • 7. Fuzzy-rule emulated networks, based on reinforcement learning for nonlinear discrete-time controllers.
    Treesatayapun C.
    ISA Trans; 2008 Oct; 47(4):362-73. PubMed ID: 18675416
    [Abstract] [Full Text] [Related]

  • 8. A boundedness result for the direct heuristic dynamic programming.
    Liu F, Sun J, Si J, Guo W, Mei S.
    Neural Netw; 2012 Aug; 32():229-35. PubMed ID: 22397949
    [Abstract] [Full Text] [Related]

  • 9. Optimal control of unknown affine nonlinear discrete-time systems using offline-trained neural networks with proof of convergence.
    Dierks T, Thumati BT, Jagannathan S.
    Neural Netw; 2009 Aug; 22(5-6):851-60. PubMed ID: 19596551
    [Abstract] [Full Text] [Related]

  • 10. Adaptive feedback control by constrained approximate dynamic programming.
    Ferrari S, Steck JE, Chandramohan R.
    IEEE Trans Syst Man Cybern B Cybern; 2008 Aug; 38(4):982-7. PubMed ID: 18632388
    [Abstract] [Full Text] [Related]

  • 11.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 12. Reinforcement learning of motor skills with policy gradients.
    Peters J, Schaal S.
    Neural Netw; 2008 May; 21(4):682-97. PubMed ID: 18482830
    [Abstract] [Full Text] [Related]

  • 13. Neural network approach to continuous-time direct adaptive optimal control for partially unknown nonlinear systems.
    Vrabie D, Lewis F.
    Neural Netw; 2009 Apr; 22(3):237-46. PubMed ID: 19362449
    [Abstract] [Full Text] [Related]

  • 14.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 15. A graph-based evolutionary algorithm: Genetic Network Programming (GNP) and its extension using reinforcement learning.
    Mabu S, Hirasawa K, Hu J.
    Evol Comput; 2007 Apr; 15(3):369-98. PubMed ID: 17705783
    [Abstract] [Full Text] [Related]

  • 16. Reliability of internal prediction/estimation and its application. I. Adaptive action selection reflecting reliability of value function.
    Sakaguchi Y, Takano M.
    Neural Netw; 2004 Sep; 17(7):935-52. PubMed ID: 15312837
    [Abstract] [Full Text] [Related]

  • 17.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 18. An optimal dynamic inversion-based neuro-adaptive approach for treatment of chronic myelogenous leukemia.
    Padhi R, Kothari M.
    Comput Methods Programs Biomed; 2007 Sep; 87(3):208-24. PubMed ID: 17618012
    [Abstract] [Full Text] [Related]

  • 19. Adaptive importance sampling for value function approximation in off-policy reinforcement learning.
    Hachiya H, Akiyama T, Sugiayma M, Peters J.
    Neural Netw; 2009 Dec; 22(10):1399-410. PubMed ID: 19216050
    [Abstract] [Full Text] [Related]

  • 20. Comparison of behavior-based and planning techniques on the small robot maze exploration problem.
    Slusný S, Neruda R, Vidnerová P.
    Neural Netw; 2010 May; 23(4):560-7. PubMed ID: 20346859
    [Abstract] [Full Text] [Related]


    Page: [Next] [New Search]
    of 11.