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.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

566 related articles for article (PubMed ID: 23706414)

  • 21. Model-Free Reinforcement Learning for Fully Cooperative Consensus Problem of Nonlinear Multiagent Systems.
    Wang H; Li M
    IEEE Trans Neural Netw Learn Syst; 2022 Apr; 33(4):1482-1491. PubMed ID: 33338022
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Approximate optimal control design for nonlinear one-dimensional parabolic PDE systems using empirical eigenfunctions and neural network.
    Luo B; Wu HN
    IEEE Trans Syst Man Cybern B Cybern; 2012 Dec; 42(6):1538-49. PubMed ID: 22588610
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Reinforcement-Learning-Based Robust Controller Design for Continuous-Time Uncertain Nonlinear Systems Subject to Input Constraints.
    Liu D; Yang X; Wang D; Wei Q
    IEEE Trans Cybern; 2015 Jul; 45(7):1372-85. PubMed ID: 25872221
    [TBL] [Abstract][Full Text] [Related]  

  • 24. 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; 22(5-6):851-60. PubMed ID: 19596551
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Adaptive Optimal Control of Networked Nonlinear Systems With Stochastic Sensor and Actuator Dropouts Based on Reinforcement Learning.
    Jiang Y; Liu L; Feng G
    IEEE Trans Neural Netw Learn Syst; 2024 Mar; 35(3):3107-3120. PubMed ID: 35731768
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Reinforcement learning in continuous time and space.
    Doya K
    Neural Comput; 2000 Jan; 12(1):219-45. PubMed ID: 10636940
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Neural network-based finite-horizon optimal control of uncertain affine nonlinear discrete-time systems.
    Zhao Q; Xu H; Jagannathan S
    IEEE Trans Neural Netw Learn Syst; 2015 Mar; 26(3):486-99. PubMed ID: 25720005
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Finite-Horizon $H_{\infty }$ Tracking Control for Unknown Nonlinear Systems With Saturating Actuators.
    Zhang H; Cui X; Luo Y; Jiang H
    IEEE Trans Neural Netw Learn Syst; 2018 Apr; 29(4):1200-1212. PubMed ID: 28362620
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Model-free optimal controller design for continuous-time nonlinear systems by adaptive dynamic programming based on a precompensator.
    Zhang J; Zhang H; Liu Z; Wang Y
    ISA Trans; 2015 Jul; 57():63-70. PubMed ID: 25704057
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Control of nonaffine nonlinear discrete-time systems using reinforcement-learning-based linearly parameterized neural networks.
    Yang Q; Vance JB; Jagannathan S
    IEEE Trans Syst Man Cybern B Cybern; 2008 Aug; 38(4):994-1001. PubMed ID: 18632390
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Adaptive optimal trajectory tracking control of AUVs based on reinforcement learning.
    Li Z; Wang M; Ma G
    ISA Trans; 2023 Jun; 137():122-132. PubMed ID: 36522214
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Reinforcement learning controller design for affine nonlinear discrete-time systems using online approximators.
    Yang Q; Jagannathan S
    IEEE Trans Syst Man Cybern B Cybern; 2012 Apr; 42(2):377-90. PubMed ID: 21947529
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Iterative Adaptive Dynamic Programming for Solving Unknown Nonlinear Zero-Sum Game Based on Online Data.
    Zhu Y; Zhao D; Li X
    IEEE Trans Neural Netw Learn Syst; 2017 Mar; 28(3):714-725. PubMed ID: 27249839
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Policy iteration adaptive dynamic programming algorithm for discrete-time nonlinear systems.
    Liu D; Wei Q
    IEEE Trans Neural Netw Learn Syst; 2014 Mar; 25(3):621-34. PubMed ID: 24807455
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Action Mapping: A Reinforcement Learning Method for Constrained-Input Systems.
    Yuan X; Wang Y; Liu J; Sun C
    IEEE Trans Neural Netw Learn Syst; 2023 Oct; 34(10):7145-7157. PubMed ID: 35025751
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Approximate Dynamic Programming for Nonlinear-Constrained Optimizations.
    Yang X; He H; Zhong X
    IEEE Trans Cybern; 2021 May; 51(5):2419-2432. PubMed ID: 31329149
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Decentralized optimal control of a class of interconnected nonlinear discrete-time systems by using online Hamilton-Jacobi-Bellman formulation.
    Mehraeen S; Jagannathan S
    IEEE Trans Neural Netw; 2011 Nov; 22(11):1757-69. PubMed ID: 21965197
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Adaptive optimal control of highly dissipative nonlinear spatially distributed processes with neuro-dynamic programming.
    Luo B; Wu HN; Li HX
    IEEE Trans Neural Netw Learn Syst; 2015 Apr; 26(4):684-96. PubMed ID: 25794375
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Integral reinforcement learning for continuous-time input-affine nonlinear systems with simultaneous invariant explorations.
    Lee JY; Park JB; Choi YH
    IEEE Trans Neural Netw Learn Syst; 2015 May; 26(5):916-32. PubMed ID: 25163070
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Off-policy reinforcement learning for H∞ control design.
    Luo B; Wu HN; Huang T
    IEEE Trans Cybern; 2015 Jan; 45(1):65-76. PubMed ID: 25532162
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 29.