Yunpeng Pan
Title
Cited by
Cited by
Year
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
2252011
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
1832017
Probabilistic differential dynamic programming
Y Pan, E Theodorou
Advances in Neural Information Processing Systems 27, 1907-1915, 2014
962014
Probabilistic differential dynamic programming
Y Pan, E Theodorou
Advances in Neural Information Processing Systems 27, 1907-1915, 2014
962014
Learning from conditional distributions via dual embeddings
B Dai, N He, Y Pan, B Boots, L Song
Artificial Intelligence and Statistics, 1458-1467, 2017
862017
Two neural network approaches to model predictive control
Y Pan, J Wang
2008 American Control Conference, 1685-1690, 2008
382008
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
312009
Prediction under uncertainty in sparse spectrum Gaussian processes with applications to filtering and control
Y Pan, X Yan, EA Theodorou, B Boots
International Conference on Machine Learning, 2760-2768, 2017
302017
Imitation learning for agile autonomous driving
Y Pan, CA Cheng, K Saigol, K Lee, X Yan, EA Theodorou, B Boots
The International Journal of Robotics Research 39 (2-3), 286-302, 2020
262020
Sample efficient path integral control under uncertainty
Y Pan, EA Theodorou, M Kontitsis
arXiv preprint arXiv:1509.01846, 2015
232015
Learning from conditional distributions via dual kernel embeddings
B Dai, N He, Y Pan, B Boots, L Song
arXiv preprint arXiv:1607.04579, 2016
222016
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
202010
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
162008
Min-max differential dynamic programming: Continuous and discrete time formulations
W Sun, Y Pan, J Lim, EA Theodorou, P Tsiotras
Journal of Guidance, Control, and Dynamics 41 (12), 2568-2580, 2018
142018
Efficient reinforcement learning via probabilistic trajectory optimization
Y Pan, GI Boutselis, EA Theodorou
IEEE transactions on neural networks and learning systems 29 (11), 5459-5474, 2018
122018
Robust Trajectory Optimization: A Cooperative Stochastic Game Theoretic Approach
Y Pan, K Bakshi, EA Theodorou
Robotics: Science and Systems (RSS), 2015
112015
Data-driven differential dynamic programming using gaussian processes
Y Pan, EA Theodorou
2015 American Control Conference (ACC), 4467-4472, 2015
102015
Adaptive probabilistic trajectory optimization via efficient approximate inference
Y Pan, X Yan, E Theodorou, B Boots
arXiv preprint arXiv:1608.06235, 2016
92016
Belief space stochastic control under unknown dynamics
Y Pan, K Saigol, EA Theodorou
2017 American Control Conference (ACC), 3764-3770, 2017
82017
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Articles 1–20