Publications [Google Scholar entry]
Journal Articles
Y. Pan, C. Cheng, K. Saigol, K. Lee, X. Yan, E. Theodorou and B. Boots. "Imitation Learning for Agile Autonomous Driving". International Journal of Robotics Research (IJRR). 2019. (Impact Factor: 6.13)
G. I. Boutselis, Y. Pan, E. A. Theodorou. "Numerical Trajectory Optimization for Polynomial Chaos Representations of Mechanical Systems." SIAM Journal on Scientific Computing, 2019.
Y. Pan, G. I. Boutselis, and E. A. Theodorou. "Efficient Reinforcement Learning via Probabilistic Trajectory Optimization." IEEE Transactions on Neural Networks and Learning Systems. 2018. (Impact Factor: 11.68)
W. Sun, Y. Pan, P. Tsiotras and E. Theodorou. "Game-Theoretic Differential Dynamic Programming." Journal of Guidance, Control, and Dynamics. 2018.
Y. Pan and J. Wang. "Model Predictive Control of Unknown Nonlinear Dynamical Systems Based on Recurrent Neural Networks," IEEE Transactions on Industrial Electronics, vol. 59, no. 8, pp. 3089-3101, 2012. (Impact Factor: 7.5)
G. I. Boutselis, Y. Pan, E. A. Theodorou. "Numerical Trajectory Optimization for Polynomial Chaos Representations of Mechanical Systems." SIAM Journal on Scientific Computing, 2019.
Y. Pan, G. I. Boutselis, and E. A. Theodorou. "Efficient Reinforcement Learning via Probabilistic Trajectory Optimization." IEEE Transactions on Neural Networks and Learning Systems. 2018. (Impact Factor: 11.68)
W. Sun, Y. Pan, P. Tsiotras and E. Theodorou. "Game-Theoretic Differential Dynamic Programming." Journal of Guidance, Control, and Dynamics. 2018.
Y. Pan and J. Wang. "Model Predictive Control of Unknown Nonlinear Dynamical Systems Based on Recurrent Neural Networks," IEEE Transactions on Industrial Electronics, vol. 59, no. 8, pp. 3089-3101, 2012. (Impact Factor: 7.5)
Conference Papers
Y. Pan, C. Cheng, K. Saigol, K. Lee, X. Yan, E. Theodorou and B. Boots. "Agile Off-Road Autonomous Driving Using End-to-End Deep Imitation Learning." Robotics: Science and Systems (RSS), 2018. (Best Systems Paper Award Finalist)
M.Gandhi, P. Sebastian, Y. Pan, D. Yannopoulos and E. Theodorou. "Learning to Predict Coronary Perfusion Pressure for Cardiopulmonary Resuscitation." ASME Dynamic Systems and Control Conference (DSCC'18), 2018.
H. Brar, I. Exarchos, Y. Pan, B. Mahmoud and E. Theodorou. "Seizure Reduction using Model Predictive Control." The 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2018
Y. Pan, X. Yan, E. Theodorou and B. Boots. "Prediction under Uncertainty in Sparse Spectrum Gaussian Processes with Applications to Filtering and Control." The 34th International Conference on Machine Learning (ICML), 2017. (Acceptance rate: 26%)
Y. Pan, C. Cheng, K. Saigol, K. Lee, X. Yan, E. Theodorou and B. Boots. "Learning Deep Neural Network Control Policies for Agile Off-Road Autonomous Driving." NIPS Deep Reinforcement Learning Symposium, 2017.
B. Dai, N. He, Y. Pan, B. Boots, and L. Song, "Learning from Conditional Distributions via Dual Embeddings". NIPS 2017 Learning on Distributions, Functions, Graphs and Groups Workshop.
Y. Pan, C. Cheng, K. Saigol, K. Lee, X. Yan, E. Theodorou and B. Boots. "Deep AutoRally: Agile Autonomous Driving via End-to-End Imitation Learning." RSS 2017 Workshop on Learning from Demonstrations in High-Dimensional Feature Spaces.
M. Gandhi, K. Saigol, Y. Pan and E. Theodorou. "Model Predictive PseudoSpectral Optimal Control with Semi-Parametric Dynamics." IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL), 2017
Y. Pan, K. Saigol and E. Theodorou. "Belief Space Stochastic Control under Unknown Dynamics." American Control Conference (ACC), 2017.
B. Dai, N. He, Y. Pan, B. Boots and L. Song. "Learning from Conditional Distributions via Dual Kernel Embeddings." The 20th International Conference on Artificial Intelligence and Statistics (AISTATS), 2017. (Acceptance rate: 31%)
Y. Pan, X. Yan, E. Theodorou and B. Boots. "Prediction under Uncertainty in Sparse Spectrum Gaussian Processes with Applications to Filtering and Control." In 3rd Multi-disciplinary Conference on Reinforcement Learning and Decision Making (RLDM), 2017.
M. Gandhi, Y. Pan and E. Theodorou. "Pseudospectral Model Predictive Control under Partially Learned Dynamics." AIAA Guidance, Navigation, and Control Conference (GNC), 2017.
Y. Pan, X. Yan, B. Dai, L. Song, E. Theodorou and B. Boots. "Solving the Linear Bellman Equations via Dual Kernel Embeddings". NIPS workshop on Adaptive and Scalable Nonparametric Methods in Machine Learning, 2016. (Selected for oral presentation)
H. Brar, Y. Pan, B. Mahmoud and E. Theodorou. "Cross-Entropy Optimization for Neuromodulation." In 38th Annual
International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016.
Y. Pan, X. Yan, E. Theodorou and B. Boots. "Scalable Reinforcement Learning via Trajectory Optimization and Approximate Gaussian Process Regression." In NIPS Workshop on Advances in Approximate Bayesian Inference (AABI), 2015.
Y. Pan, E. Theodorou and M. Kontitsis. "Sample Efficient Path Integral Control under Uncertainty." In Neural Information Processing Systems (NIPS), 2015. (Acceptance rate: 21%)
Y. Pan and E. Theodorou. "Sample Efficient Path Integral Control for Uncertain Systems." In RSS workshop on Learning from Demonstration: Inverse Optimal Control, Reinforcement Learning, and Lifelong Learning, 2015.
Y. Pan, K. Bakshi and E. Theodorou. "Robust Trajectory Optimization: A Stochastic Cooperative Game Theoretic Approach." In Robotics: Science and Systems (RSS), 2015. (Acceptance rate: 26%)
Y. Pan and E. Theodorou. "Data-Driven Differential Dynamic Programming using Gaussian Processes." In American Control Conference (ACC), 2015.
Y. Pan, K. Bakshi and E. Theodorou. "A Cooperative Game Theoretic Approach to Trajectory Optimization." In 2nd Multi-disciplinary Conference on Reinforcement Learning and Decision Making (RLDM), 2015.
Y. Pan and E. Theodorou. "Nonparametric Infinite Horizon Kullback-Leibler Stochastic Control." In IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL), 2014.
Y. Pan, E. Theodorou and M. Kontitsis. "Model-based Path Integral Stochastic Control: A Bayesian Nonparametric Approach." In NIPS Workshop on Autonomously Learning Robots (ALR), 2014. (Selected for oral presentation)
Y. Pan and E. Theodorou. "Probabilistic Differential Dynamic Programming." In Neural Information Processing Systems (NIPS), 2014. (Acceptance rate: 22%)
Y. Pan and J. Wang. "A Neurodynamic Optimization Approach to Nonlinear Model Predictive Control." In IEEE Conference on Systems, Man and Cybernetics (SMC), 2011. (Franklin V. Taylor Best Paper Award Finalist)
Y. Pan and J. Wang. "Constrained Model Predictive Control for Nonlinear Affine Systems Based on a Recurrent Neural Network." In IEEE International Symposium on Intelligent Control (ISIC), 2009.
Y. Pan and J. Wang. "Robust Model Predictive Control Using a Discrete-Time Recurrent Neural Network." In International Symposium on Neural Networks (ISNN), 2008.
Y. Pan and J. Wang. "Two Neural Network Approaches to Model Predictive Control." In American Control Conference (ACC), 2008.
Y. Pan and J. Wang. "Nonlinear Model Predictive Control Using a Recurrent Neural Network." In International Joint Conference on Neural Networks (IJCNN), 2008.
Book chapter
Y. Pan and J. Wang. "Robust Model Predictive Control Using a Discrete-Time Recurrent Neural Network." In Advances in Neural Networks, Lecture Notes in Computer Science (LNCS), vol. 5263, pp. 883-892, 2008.
Theses
Y. Pan. "Learning Control via Probabilistic Trajectory Optimization," Ph.D. Thesis, Georgia Institute of Technology, Atlanta, GA, USA, 2017.
Y. Pan. "Neurodynamic Approaches to Model Predictive Control." M.Phil. Thesis, The Chinese University of Hong Kong, Hong Kong, 2009.
Y. Pan. "Neurodynamic Approaches to Model Predictive Control." M.Phil. Thesis, The Chinese University of Hong Kong, Hong Kong, 2009.