| 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 | 384 | 2017 |
| 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 | 325 | 2011 |
| 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 | 177 | 2020 |
| Learning from conditional distributions via dual embeddings B Dai, N He, Y Pan, B Boots, L Song Artificial Intelligence and Statistics, 1458-1467, 2017 | 154 | 2017 |
| Probabilistic differential dynamic programming Y Pan, E Theodorou Advances in Neural Information Processing Systems 27, 2014 | 129 | 2014 |
| 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 | 46 | 2017 |
| Two neural network approaches to model predictive control Y Pan, J Wang 2008 American Control Conference, 1685-1690, 2008 | 45 | 2008 |
| 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 | 36 | 2009 |
| 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 | 35 | 2018 |
| 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 | 32 | 2010 |
| Sample efficient path integral control under uncertainty Y Pan, E Theodorou, M Kontitsis Advances in Neural Information Processing Systems 28, 2015 | 31 | 2015 |
| 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 | 28 | 2018 |
| Learning from conditional distributions via dual kernel embeddings B Dai, N He, Y Pan, B Boots, L Song arXiv preprint arXiv:1607.04579, 2016 | 23 | 2016 |
| Nonlinear model predictive control using a recurrent neural network Y Pan, J Wang 2008 IEEE International Joint Conference on Neural Networks (IEEE World …, 2008 | 21 | 2008 |
| Data-driven differential dynamic programming using gaussian processes Y Pan, EA Theodorou 2015 American Control Conference (ACC), 4467-4472, 2015 | 19 | 2015 |
| Robust model predictive control using a discrete-time recurrent neural network Y Pan, J Wang Advances in Neural Networks-ISNN 2008: 5th International Symposium on Neural …, 2008 | 18 | 2008 |
| Robust Trajectory Optimization: A Cooperative Stochastic Game Theoretic Approach Y Pan, K Bakshi, EA Theodorou Robotics: Science and Systems (RSS), 2015 | 15 | 2015 |
| Numerical trajectory optimization for stochastic mechanical systems GI Boutselis, Y Pan, EA Theodorou SIAM Journal on scientific computing 41 (4), A2065-A2087, 2019 | 14 | 2019 |
| Learning deep neural network control policies for agile off-road autonomous driving Y Pan, CA Cheng, K Saigol, K Lee, X Yan, E Theodorou, B Boots The NIPS Deep Rienforcement Learning Symposium 134, 2017 | 11 | 2017 |
| Belief space stochastic control under unknown dynamics Y Pan, K Saigol, EA Theodorou 2017 American Control Conference (ACC), 3764-3770, 2017 | 9 | 2017 |
Evangelos TheodorouGeorgia Institute of Technology & Amazon SEASEmail verificata su ae.gatech.edu