Yunpeng Pan

According to our database, Yunpeng Pan authored at least 46 papers between 2003 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2020

Imitation learning for agile autonomous driving.

Yunpeng Pan, Ching-An Cheng, Kamil Saigol, Keuntaek Lee, Xinyan Yan, Evangelos A. Theodorou, Byron Boots

Int. J. Robotics Res., 2020

2019

Numerical Trajectory Optimization for Stochastic Mechanical Systems.

George I. Boutselis, Yunpeng Pan, Evangelos A. Theodorou

SIAM J. Sci. Comput., 2019

2018

Learning control via probabilistic trajectory optimization.

Yunpeng Pan

PhD thesis, 2018

Efficient Reinforcement Learning via Probabilistic Trajectory Optimization.

Yunpeng Pan, George I. Boutselis, Evangelos A. Theodorou

IEEE Trans. Neural Networks Learn. Syst., 2018

Propagating Uncertainty through the tanh Function with Application to Reservoir Computing.

Manan Gandhi, Keuntaek Lee, Yunpeng Pan, Evangelos A. Theodorou

CoRR, 2018

Biomedical semantic indexing by deep neural network with multi-task learning.

Yongping Du, Yunpeng Pan, Chencheng Wang, Junzhong Ji

BMC Bioinform., 2018

Agile Autonomous Driving using End-to-End Deep Imitation Learning.

Yunpeng Pan, Ching-An Cheng, Kamil Saigol, Keuntaek Lee, Xinyan Yan, Evangelos A. Theodorou, Byron Boots

Proceedings of the Robotics: Science and Systems XIV, 2018

Seizure Reduction using Model Predictive Control.

Harleen K. Brar, Ioannis Exarchos, Yunpeng Pan, Evangelos A. Theodorou, Babak Mahmoudi

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017

Agile Off-Road Autonomous Driving Using End-to-End Deep Imitation Learning.

Yunpeng Pan, Ching-An Cheng, Kamil Saigol, Keuntaek Lee, Xinyan Yan, Evangelos A. Theodorou, Byron Boots

CoRR, 2017

Dual relaxations of the time-indexed ILP formulation for min-sum scheduling problems.

Yunpeng Pan, Zhe Liang

Ann. Oper. Res., 2017

Model predictive PseudoSpectral Optimal Control with semi-parametric dynamics.

Manan Gandhi, Kamil Saigol, Yunpeng Pan, Evangelos A. Theodorou

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Prediction under Uncertainty in Sparse Spectrum Gaussian Processes with Applications to Filtering and Control.

Yunpeng Pan, Xinyan Yan, Evangelos A. Theodorou, Byron Boots

Proceedings of the 34th International Conference on Machine Learning, 2017

A novel serial deep multi-task learning model for large scale biomedical semantic indexing.

Yongping Du, Yunpeng Pan, Junzhong Ji

Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

Belief space stochastic control under unknown dynamics.

Yunpeng Pan, Kamil Saigol, Evangelos A. Theodorou

Proceedings of the 2017 American Control Conference, 2017

Learning from Conditional Distributions via Dual Embeddings.

Bo Dai, Niao He, Yunpeng Pan, Byron Boots, Le Song

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016

Adaptive Probabilistic Trajectory Optimization via Efficient Approximate Inference.

Yunpeng Pan, Xinyan Yan, Evangelos A. Theodorou, Byron Boots

CoRR, 2016

Learning from Conditional Distributions via Dual Kernel Embeddings.

Bo Dai, Niao He, Yunpeng Pan, Byron Boots, Le Song

CoRR, 2016

Cross-entropy optimization for neuromodulation.

Harleen K. Brar, Yunpeng Pan, Babak Mahmoudi, Evangelos A. Theodorou

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015

Sample Efficient Path Integral Control under Uncertainty.

Yunpeng Pan, Evangelos A. Theodorou

CoRR, 2015

Robust Trajectory Optimization: A Cooperative Stochastic Game Theoretic Approach.

Yunpeng Pan, Evangelos A. Theodorou, Kaivalya Bakshi

Proceedings of the Robotics: Science and Systems XI, Sapienza University of Rome, 2015

Sample Efficient Path Integral Control under Uncertainty.

Yunpeng Pan, Evangelos A. Theodorou, Michail Kontitsis

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Data-driven differential dynamic programming using Gaussian processes.

Yunpeng Pan, Evangelos A. Theodorou

Proceedings of the American Control Conference, 2015

2014

Model-based Path Integral Stochastic Control: A Bayesian Nonparametric Approach.

Yunpeng Pan, Evangelos A. Theodorou, Michail Kontitsis

CoRR, 2014

Nonparametric Kullback-Leibler Stochastic Control.

Yunpeng Pan, Evangelos A. Theodorou

CoRR, 2014

Probabilistic Differential Dynamic Programming.

Yunpeng Pan, Evangelos A. Theodorou

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Nonparametric infinite horizon Kullback-Leibler stochastic control.

Yunpeng Pan, Evangelos A. Theodorou

Proceedings of the 2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2014

2013

A combinatorial auctions perspective on min-sum scheduling problems.

Yunpeng Pan

Proceedings of the 2013 IEEE International Conference on Automation Science and Engineering, 2013

2012

Model Predictive Control of Unknown Nonlinear Dynamical Systems Based on Recurrent Neural Networks.

Yunpeng Pan, Jun Wang

IEEE Trans. Ind. Electron., 2012

2011

Electronic Nose Based on an Optimized Competition Neural Network.

Hong Men, Haiyan Liu, Yunpeng Pan, Lei Wang, Haiping Zhang

Sensors, 2011

2010

A neurodynamic optimization approach to nonlinear model predictive control.

Yunpeng Pan, Jun Wang

Proceedings of the IEEE International Conference on Systems, 2010

2009

Model predictive control for nonlinear affine systems based on the simplified dual neural network.

Yunpeng Pan, Jun Wang

Proceedings of the IEEE International Conference on Control Applications, 2009

2008

New Solution Approaches to the General Single- Machine Earliness-Tardiness Problem.

Hoksung Yau, Yunpeng Pan, Leyuan Shi

IEEE Trans Autom. Sci. Eng., 2008

Hybrid Nested Partitions and Mathematical Programming Approach and Its Applications.

Liang Pi, Yunpeng Pan, Leyuan Shi

IEEE Trans Autom. Sci. Eng., 2008

New Hybrid Optimization Algorithms for Machine Scheduling Problems.

Yunpeng Pan, Leyuan Shi

IEEE Trans Autom. Sci. Eng., 2008

Robust Model Predictive Control Using a Discrete-Time Recurrent Neural Network.

Yunpeng Pan, Jun Wang

Proceedings of the Advances in Neural Networks, 2008

Nonlinear model predictive control using a recurrent neural network.

Yunpeng Pan, Jun Wang

Proceedings of the International Joint Conference on Neural Networks, 2008

Two neural network approaches to model predictive control.

Yunpeng Pan, Jun Wang

Proceedings of the American Control Conference, 2008

2007

On the equivalence of the max-min transportation lower bound and the time-indexed lower bound for single-machine scheduling problems.

Yunpeng Pan, Leyuan Shi

Math. Program., 2007

2006

Branch-and-bound algorithms for solving hard instances of the one-machine sequencing problem.

Yunpeng Pan, Leyuan Shi

Eur. J. Oper. Res., 2006

Nested Partitions Method for the Local Pickup and Delivery Problem.

Liang Pi, Yunpeng Pan, Leyuan Shi

Proceedings of the 2006 IEEE International Conference on Automation Science and Engineering, 2006

2005

An efficient search method for job-shop scheduling problems.

Leyuan Shi, Yunpeng Pan

IEEE Trans Autom. Sci. Eng., 2005

Dual constrained single machine sequencing to minimize total weighted completion time.

Yunpeng Pan, Leyuan Shi

IEEE Trans Autom. Sci. Eng., 2005

A new optimization approach to the general single machine earliness-tardiness problem.

Yunpeng Pan, Leyuan Shi, Hoksung Yau

Proceedings of the IEEE International Conference on Automation Science and Engineering, 2005

2004

A Stochastic On-Line Model for Shipment Date Quoting with On-Time Delivery Guarantees.

Yunpeng Pan, Leyuan Shi

Proceedings of the 36th conference on Winter simulation, 2004

On the optimal solution of the general min-max sequencing problem.

Yunpeng Pan, Leyuan Shi

Proceedings of the 43rd IEEE Conference on Decision and Control, 2004

2003

An improved branch and bound algorithm for single machine scheduling with deadlines to minimize total weighted completion time.

Yunpeng Pan

Oper. Res. Lett., 2003