A three-network architecture for on-line learning and optimization based on adaptive dynamic programming
暂无分享,去创建一个
[1] P.J. Werbos,et al. Using ADP to Understand and Replicate Brain Intelligence: the Next Level Design , 2007, 2007 IEEE International Symposium on Approximate Dynamic Programming and Reinforcement Learning.
[2] Derong Liu,et al. Direct Neural Dynamic Programming , 2004 .
[3] Derong Liu,et al. Adaptive dynamic programming for discrete-time systems with infinite horizon and ∈-error bound in the performance cost , 2009, 2009 International Joint Conference on Neural Networks.
[4] Paul J. Werbos,et al. Backpropagation Through Time: What It Does and How to Do It , 1990, Proc. IEEE.
[5] Haibo He. Self-Adaptive Systems for Machine Intelligence , 2011 .
[6] Russell Enns,et al. Helicopter Flight Control Using Direct Neural Dynamic Programming , 2004 .
[7] Haibo He,et al. An online actor-critic learning approach with Levenberg-Marquardt algorithm , 2011, The 2011 International Joint Conference on Neural Networks.
[8] Huaguang Zhang,et al. Adaptive Dynamic Programming: An Introduction , 2009, IEEE Computational Intelligence Magazine.
[9] Michael A. Arbib,et al. The handbook of brain theory and neural networks , 1995, A Bradford book.
[10] Richard S. Sutton,et al. Reinforcement Learning: An Introduction , 1998, IEEE Trans. Neural Networks.
[11] Yi Zhang,et al. A self-learning call admission control scheme for CDMA cellular networks , 2005, IEEE Transactions on Neural Networks.
[12] K. G. Eltohamy,et al. Nonlinear optimal control of a triple link inverted pendulum with single control input , 1998 .
[13] Warren B. Powell,et al. Handbook of Learning and Approximate Dynamic Programming , 2006, IEEE Transactions on Automatic Control.
[14] Jennie Si,et al. Online learning control by association and reinforcement , 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.
[15] Huaguang Zhang,et al. Neural-Network-Based Near-Optimal Control for a Class of Discrete-Time Affine Nonlinear Systems With Control Constraints , 2009, IEEE Transactions on Neural Networks.
[16] Paul J. Werbos,et al. 2009 Special Issue: Intelligence in the brain: A theory of how it works and how to build it , 2009 .
[17] Panos M. Pardalos,et al. Approximate dynamic programming: solving the curses of dimensionality , 2009, Optim. Methods Softw..
[18] Warren B. Powell,et al. Approximate Dynamic Programming: Solving the Curses of Dimensionality (Wiley Series in Probability and Statistics) , 2007 .
[19] Paul J. Werbos. Backpropagation: basics and new developments , 1998 .
[20] A. Barto,et al. ModelBased Adaptive Critic Designs , 2004 .
[21] F. Kozin,et al. System Modeling and Optimization , 1982 .
[22] Haibo He,et al. Adaptive Learning and Control for MIMO System Based on Adaptive Dynamic Programming , 2011, IEEE Transactions on Neural Networks.
[23] Frank L. Lewis,et al. Online actor critic algorithm to solve the continuous-time infinite horizon optimal control problem , 2009, 2009 International Joint Conference on Neural Networks.
[24] Tao Xiong,et al. A combined SVM and LDA approach for classification , 2005, Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005..
[25] Paul J. Werbos,et al. Stable adaptive control using new critic designs , 1998, Other Conferences.
[26] Richard S. Sutton,et al. Introduction to Reinforcement Learning , 1998 .
[27] Paul J. Werbos,et al. Applications of advances in nonlinear sensitivity analysis , 1982 .
[28] D. Liu,et al. Adaptive Dynamic Programming for Finite-Horizon Optimal Control of Discrete-Time Nonlinear Systems With $\varepsilon$-Error Bound , 2011, IEEE Transactions on Neural Networks.
[29] Frank L. Lewis,et al. Adaptive Critic Designs for Discrete-Time Zero-Sum Games With Application to $H_{\infty}$ Control , 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[30] Sean R Eddy,et al. What is dynamic programming? , 2004, Nature Biotechnology.