Yunpeng Pan
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Model predictive control of unknown nonlinear dynamical systems based on recurrent neural networks
Y Pan, J Wang
IEEE Transactions on Industrial Electronics 59 (8), 3089-3101, 2011
1812011
Agile autonomous driving using end-to-end deep imitation learning
Y Pan, CA Cheng, K Saigol, K Lee, X Yan, E Theodorou, B Boots
arXiv preprint arXiv:1709.07174, 2017
842017
Probabilistic differential dynamic programming
Y Pan, E Theodorou
Advances in Neural Information Processing Systems, 1907-1915, 2014
762014
Learning from conditional distributions via dual embeddings
B Dai, N He, Y Pan, B Boots, L Song
arXiv preprint arXiv:1607.04579, 2016
512016
Two neural network approaches to model predictive control
Y Pan, J Wang
2008 American Control Conference, 1685-1690, 2008
362008
Model predictive control for nonlinear affine systems based on the simplified dual neural network
Y Pan, J Wang
2009 IEEE Control Applications,(CCA) & Intelligent Control,(ISIC), 683-688, 2009
272009
Prediction under uncertainty in sparse spectrum Gaussian processes with applications to filtering and control
Y Pan, X Yan, EA Theodorou, B Boots
Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017
212017
Learning from conditional distributions via dual kernel embeddings
B Dai, N He, Y Pan, B Boots, L Song
arXiv preprint arXiv:1607.04579, 2016
202016
A neurodynamic optimization approach to nonlinear model predictive control
Y Pan, J Wang
2010 IEEE International Conference on Systems, Man and Cybernetics, 1597-1602, 2010
182010
Sample efficient path integral control under uncertainty
Y Pan, E Theodorou, M Kontitsis
Advances in Neural Information Processing Systems, 2314-2322, 2015
172015
Robust model predictive control using a discrete-time recurrent neural network
Y Pan, J Wang
International Symposium on Neural Networks, 883-892, 2008
172008
Nonlinear model predictive control using a recurrent neural network
Y Pan, J Wang
2008 IEEE International Joint Conference on Neural Networks (IEEE World …, 2008
122008
Agile autonomous driving via end-to-end deep imitation learning
Y Pan, CA Cheng, K Saigol, K Lee, X Yan, E Theodorou, B Boots
Proceedings of Robotics: Science and Systems (RSS) 1, 2018
82018
Belief space stochastic control under unknown dynamics
Y Pan, K Saigol, EA Theodorou
2017 American Control Conference (ACC), 3764-3770, 2017
72017
Adaptive probabilistic trajectory optimization via efficient approximate inference
Y Pan, X Yan, E Theodorou, B Boots
arXiv preprint arXiv:1608.06235, 2016
62016
Stochastic trajectory optimization for mechanical systems with parametric uncertainties
GI Boutselis, Y Pan, G De La Tore, EA Theodorou
arXiv preprint arXiv:1705.05506, 2017
52017
Learning deep neural network control policies for agile off-road autonomous driving
Y Pan, CA Cheng, K Saigol, K Lee, X Yan, EA Theodorou, B Boots
The NIPS Deep Reinforcement Learning Symposium, 2017
52017
Data-driven differential dynamic programming using gaussian processes
Y Pan, EA Theodorou
2015 American Control Conference (ACC), 4467-4472, 2015
52015
Robust Trajectory Optimization: A Cooperative Stochastic Game Theoretic Approach
Y Pan, K Bakshi, EA Theodorou
Robotics: Science and Systems (RSS), 2015
52015
Nonparametric infinite horizon kullback-leibler stochastic control
Y Pan, EA Theodorou
2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement …, 2014
52014
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Artiklar 1–20