Differential Dynamic Programming for time-delayed systems
暂无分享,去创建一个
[1] Thomas B. Schön,et al. From Pixels to Torques: Policy Learning with Deep Dynamical Models , 2015, ICML 2015.
[2] Yuichi Nakamura,et al. Approximation of dynamical systems by continuous time recurrent neural networks , 1993, Neural Networks.
[3] D. Mayne. A Second-order Gradient Method for Determining Optimal Trajectories of Non-linear Discrete-time Systems , 1966 .
[4] Yuval Tassa,et al. Control-limited differential dynamic programming , 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).
[5] Samy Bengio,et al. Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks , 2015, NIPS.
[6] SchmidhuberJürgen. Deep learning in neural networks , 2015 .
[7] Razvan Pascanu,et al. How to Construct Deep Recurrent Neural Networks , 2013, ICLR.
[8] Yuval Tassa,et al. Stochastic Differential Dynamic Programming , 2010, Proceedings of the 2010 American Control Conference.
[9] Yunpeng Pan,et al. Probabilistic Differential Dynamic Programming , 2014, NIPS.
[10] E. Todorov,et al. A generalized iterative LQG method for locally-optimal feedback control of constrained nonlinear stochastic systems , 2005, Proceedings of the 2005, American Control Conference, 2005..
[11] Yuval Tassa,et al. Synthesis and stabilization of complex behaviors through online trajectory optimization , 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[12] Frank Dellaert,et al. Differential dynamic programming for optimal estimation , 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).
[13] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[14] Ross A. Knepper,et al. DeepMPC: Learning Deep Latent Features for Model Predictive Control , 2015, Robotics: Science and Systems.
[15] Minoru Asada,et al. Real-Time Inverse Dynamics Learning for Musculoskeletal Robots based on Echo State Gaussian Process Regression , 2012, Robotics: Science and Systems.
[16] Geoffrey E. Hinton,et al. Temporal-Kernel Recurrent Neural Networks , 2010, Neural Networks.
[17] V. G. Boltyanskiy. The Maximum Principle in the Theory of Optimal Processes. , 1961 .
[18] Rein Luus,et al. Optimal control of time-delay systems by dynamic programming , 1992 .
[19] C. Hwang,et al. An improved computational scheme for solving dynamic optimization problems with iterative dynamic programming , 1999 .
[20] Martial Hebert,et al. Improving Multi-Step Prediction of Learned Time Series Models , 2015, AAAI.
[21] William D. Smart,et al. Receding Horizon Differential Dynamic Programming , 2007, NIPS.
[22] Eduardo Morgado Belo,et al. Application of time-delay neural and recurrent neural networks for the identification of a hingeless helicopter blade flapping and torsion motions , 2005 .
[23] Moritz Diehl,et al. ACADO toolkit—An open‐source framework for automatic control and dynamic optimization , 2011 .
[24] Jürgen Schmidhuber,et al. Deep learning in neural networks: An overview , 2014, Neural Networks.