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ORCIDYunpeng Pan
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2020 – today
- 2020
[j15]Yunpeng Pan
, Ching-An Cheng, Kamil Saigol, Keuntaek Lee, Xinyan Yan, Evangelos A. Theodorou, Byron Boots:
Imitation learning for agile autonomous driving. Int. J. Robotics Res. 39(2-3) (2020)
2010 – 2019
- 2019
- [j14]George I. Boutselis, Yunpeng Pan, Evangelos A. Theodorou:
Numerical Trajectory Optimization for Stochastic Mechanical Systems. SIAM J. Sci. Comput. 41(4): A2065-A2087 (2019) - 2018
- [b1]Yunpeng Pan:
Learning control via probabilistic trajectory optimization. Georgia Institute of Technology, Atlanta, GA, USA, 2018 - [j13]Yongping Du, Yunpeng Pan, Chencheng Wang, Junzhong Ji:
Biomedical semantic indexing by deep neural network with multi-task learning. BMC Bioinform. 19-S(20): 502:1-502:11 (2018) - [j12]Yunpeng Pan, George I. Boutselis, Evangelos A. Theodorou:
Efficient Reinforcement Learning via Probabilistic Trajectory Optimization. IEEE Trans. Neural Networks Learn. Syst. 29(11): 5459-5474 (2018) - [c23]Harleen K. Brar, Ioannis Exarchos, Yunpeng Pan, Evangelos A. Theodorou, Babak Mahmoudi:
Seizure Reduction using Model Predictive Control. EMBC 2018: 3152-3155 - [c22]Yunpeng Pan, Ching-An Cheng, Kamil Saigol, Keuntaek Lee, Xinyan Yan, Evangelos A. Theodorou, Byron Boots:
Agile Autonomous Driving using End-to-End Deep Imitation Learning. Robotics: Science and Systems 2018 - [i7]Manan Gandhi, Keuntaek Lee, Yunpeng Pan, Evangelos A. Theodorou:
Propagating Uncertainty through the tanh Function with Application to Reservoir Computing. CoRR abs/1806.09431 (2018) - 2017
- [j11]Yunpeng Pan, Zhe Liang:
Dual relaxations of the time-indexed ILP formulation for min-sum scheduling problems. Ann. Oper. Res. 249(1-2): 197-213 (2017) - [c21]Bo Dai, Niao He, Yunpeng Pan, Byron Boots, Le Song:
Learning from Conditional Distributions via Dual Embeddings. AISTATS 2017: 1458-1467 - [c20]Yunpeng Pan, Kamil Saigol, Evangelos A. Theodorou:
Belief space stochastic control under unknown dynamics. ACC 2017: 3764-3770 - [c19]Yongping Du, Yunpeng Pan, Junzhong Ji:
A novel serial deep multi-task learning model for large scale biomedical semantic indexing. BIBM 2017: 533-537 - [c18]Yunpeng Pan, Xinyan Yan, Evangelos A. Theodorou, Byron Boots:
Prediction under Uncertainty in Sparse Spectrum Gaussian Processes with Applications to Filtering and Control. ICML 2017: 2760-2768 - [c17]Manan Gandhi, Kamil Saigol, Yunpeng Pan, Evangelos A. Theodorou:
Model predictive PseudoSpectral Optimal Control with semi-parametric dynamics. SSCI 2017: 1-8 - [i6]Yunpeng Pan, Ching-An Cheng, Kamil Saigol, Keuntaek Lee, Xinyan Yan, Evangelos A. Theodorou, Byron Boots:
Agile Off-Road Autonomous Driving Using End-to-End Deep Imitation Learning. CoRR abs/1709.07174 (2017) - 2016
- [c16]Harleen K. Brar, Yunpeng Pan, Babak Mahmoudi, Evangelos A. Theodorou:
Cross-entropy optimization for neuromodulation. EMBC 2016: 6357-6360 - [i5]Bo Dai, Niao He, Yunpeng Pan, Byron Boots, Le Song:
Learning from Conditional Distributions via Dual Kernel Embeddings. CoRR abs/1607.04579 (2016) - [i4]Yunpeng Pan, Xinyan Yan, Evangelos A. Theodorou, Byron Boots:
Adaptive Probabilistic Trajectory Optimization via Efficient Approximate Inference. CoRR abs/1608.06235 (2016) - 2015
- [c15]Yunpeng Pan, Evangelos A. Theodorou:
Data-driven differential dynamic programming using Gaussian processes. ACC 2015: 4467-4472 - [c14]Yunpeng Pan, Evangelos A. Theodorou, Michail Kontitsis:
Sample Efficient Path Integral Control under Uncertainty. NIPS 2015: 2314-2322 - [c13]Yunpeng Pan, Evangelos A. Theodorou, Kaivalya Bakshi:
Robust Trajectory Optimization: A Cooperative Stochastic Game Theoretic Approach. Robotics: Science and Systems 2015 - [i3]Yunpeng Pan, Evangelos A. Theodorou:
Sample Efficient Path Integral Control under Uncertainty. CoRR abs/1509.01846 (2015) - 2014
- [c12]Yunpeng Pan, Evangelos A. Theodorou:
Nonparametric infinite horizon Kullback-Leibler stochastic control. ADPRL 2014: 1-8 - [c11]Yunpeng Pan, Evangelos A. Theodorou:
Probabilistic Differential Dynamic Programming. NIPS 2014: 1907-1915 - [i2]Yunpeng Pan, Evangelos A. Theodorou:
Nonparametric Kullback-Leibler Stochastic Control. CoRR abs/1404.3984 (2014) - [i1]Yunpeng Pan, Evangelos A. Theodorou, Michail Kontitsis:
Model-based Path Integral Stochastic Control: A Bayesian Nonparametric Approach. CoRR abs/1412.3038 (2014) - 2013
- [c10]Yunpeng Pan:
A combinatorial auctions perspective on min-sum scheduling problems. CASE 2013: 564-569 - 2012
- [j10]Yunpeng Pan, Jun Wang:
Model Predictive Control of Unknown Nonlinear Dynamical Systems Based on Recurrent Neural Networks. IEEE Trans. Ind. Electron. 59(8): 3089-3101 (2012) - 2011
- [j9]Hong Men, Haiyan Liu, Yunpeng Pan, Lei Wang, Haiping Zhang:
Electronic Nose Based on an Optimized Competition Neural Network. Sensors 11(5): 5005-5019 (2011) - 2010
- [c9]Yunpeng Pan, Jun Wang:
A neurodynamic optimization approach to nonlinear model predictive control. SMC 2010: 1597-1602
2000 – 2009
- 2009
- [c8]Yunpeng Pan, Jun Wang:
Model predictive control for nonlinear affine systems based on the simplified dual neural network. CCA/ISIC 2009: 683-688 - 2008
- [j8]Yunpeng Pan, Leyuan Shi:
New Hybrid Optimization Algorithms for Machine Scheduling Problems. IEEE Trans Autom. Sci. Eng. 5(2): 337-348 (2008) - [j7]Hoksung Yau, Yunpeng Pan, Leyuan Shi:
New Solution Approaches to the General Single- Machine Earliness-Tardiness Problem. IEEE Trans Autom. Sci. Eng. 5(2): 349-360 (2008) - [j6]Liang Pi, Yunpeng Pan, Leyuan Shi:
Hybrid Nested Partitions and Mathematical Programming Approach and Its Applications. IEEE Trans Autom. Sci. Eng. 5(4): 573-586 (2008) - [c7]Yunpeng Pan, Jun Wang:
Two neural network approaches to model predictive control. ACC 2008: 1685-1690 - [c6]Yunpeng Pan, Jun Wang:
Nonlinear model predictive control using a recurrent neural network. IJCNN 2008: 2296-2301 - [c5]Yunpeng Pan, Jun Wang:
Robust Model Predictive Control Using a Discrete-Time Recurrent Neural Network. ISNN (1) 2008: 883-892 - 2007
- [j5]Yunpeng Pan, Leyuan Shi:
On the equivalence of the max-min transportation lower bound and the time-indexed lower bound for single-machine scheduling problems. Math. Program. 110(3): 543-559 (2007) - 2006
- [j4]Yunpeng Pan, Leyuan Shi:
Branch-and-bound algorithms for solving hard instances of the one-machine sequencing problem. Eur. J. Oper. Res. 168(3): 1030-1039 (2006) - [c4]Liang Pi, Yunpeng Pan, Leyuan Shi:
Nested Partitions Method for the Local Pickup and Delivery Problem. CASE 2006: 375-380 - 2005
- [j3]Leyuan Shi, Yunpeng Pan:
An efficient search method for job-shop scheduling problems. IEEE Trans Autom. Sci. Eng. 2(1): 73-77 (2005) - [j2]Yunpeng Pan, Leyuan Shi:
Dual constrained single machine sequencing to minimize total weighted completion time. IEEE Trans Autom. Sci. Eng. 2(4): 344-357 (2005) - [c3]Yunpeng Pan, Leyuan Shi, Hoksung Yau:
A new optimization approach to the general single machine earliness-tardiness problem. CASE 2005: 43-48 - 2004
- [c2]Yunpeng Pan, Leyuan Shi:
On the optimal solution of the general min-max sequencing problem. CDC 2004: 3189-3190 - [c1]Yunpeng Pan, Leyuan Shi:
A Stochastic On-Line Model for Shipment Date Quoting with On-Time Delivery Guarantees. WSC 2004: 1195-1200 - 2003
- [j1]Yunpeng Pan:
An improved branch and bound algorithm for single machine scheduling with deadlines to minimize total weighted completion time. Oper. Res. Lett. 31(3): 492-496 (2003)
Coauthor Index
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