Yunpeng Pan

发表

Sample Efficient Path Integral Control under Uncertainty

Evangelos A. Theodorou, Yunpeng Pan, E. Theodorou, 2015, NIPS.

Probabilistic Differential Dynamic Programming

Yunpeng Pan, Evangelos Theodorou, Evangelos A. Theodorou, 2014, NIPS.

Stochastic trajectory optimization for mechanical systems with parametric uncertainties

George I. Boutselis, Evangelos A. Theodorou, Yunpeng Pan, 2017, 1705.05506.

Nonparametric Kullback-Leibler Stochastic Control pdf

Yunpeng Pan, Evangelos Theodorou, Yunpeng Pan, 2014, ArXiv.

Seizure Reduction using Model Predictive Control

Yunpeng Pan, Evangelos Theodorou, Babak Mahmoudi, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

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

Byron Boots, Yunpeng Pan, Evangelos Theodorou, 2017, ArXiv.

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

Yunpeng Pan, Evangelos Theodorou, Michail Kontitsis, 2014, ArXiv.

Min-Max Differential Dynamic Programming: Continuous and Discrete Time Formulations

Evangelos A. Theodorou, Yunpeng Pan, E. Theodorou, 2018, Journal of Guidance, Control, and Dynamics.

Learning Deep Neural Network Control Policies for Agile Off-Road Autonomous Driving

Yunpeng Pan, E. Theodorou, Byron Boots, 2017 .

Scalable Reinforcement Learning via Trajectory Optimization and Approximate Gaussian Process Regression

Yunpeng Pan, E. Theodorou, Byron Boots, 2015 .

Learning from Conditional Distributions via Dual Embeddings

Le Song, Byron Boots, Bo Dai, 2016, AISTATS.

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

Byron Boots, Yunpeng Pan, Evangelos Theodorou, 2017, Robotics: Science and Systems.

Imitation learning for agile autonomous driving

Byron Boots, Ching-An Cheng, Evangelos A. Theodorou, 2019, Int. J. Robotics Res..

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

Jun Wang, Yunpeng Pan, Yunpeng Pan, 2012, IEEE Transactions on Industrial Electronics.

A neurodynamic optimization approach to nonlinear model predictive control

Jun Wang, Yunpeng Pan, Yunpeng Pan, 2010, 2010 IEEE International Conference on Systems, Man and Cybernetics.

Efficient Reinforcement Learning via Probabilistic Trajectory Optimization

Yunpeng Pan, Evangelos A. Theodorou, George I. Boutselis, 2018, IEEE Transactions on Neural Networks and Learning Systems.

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

Jun Wang, Yunpeng Pan, Yunpeng Pan, 2009, 2009 IEEE Control Applications, (CCA) & Intelligent Control, (ISIC).

Two neural network approaches to model predictive control

Jun Wang, Y. Pan, Yunpeng Pan, 2008, 2008 American Control Conference.

Nonlinear model predictive control using a recurrent neural network

Jun Wang, Yunpeng Pan, Yunpeng Pan, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

Data-driven differential dynamic programming using Gaussian processes

Yunpeng Pan, Evangelos Theodorou, Yunpeng Pan, 2015, 2015 American Control Conference (ACC).

Scalable Reinforcement Learning via Trajectory Optimization and Approximate Gaussian Process Regression

Evangelos A. Theodorou, Yunpeng Pan, E. Theodorou, 2015 .

Nonparametric infinite horizon Kullback-Leibler stochastic control

Yunpeng Pan, Evangelos Theodorou, Yunpeng Pan, 2014, 2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL).

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

Yunpeng Pan, Yongping Du, Junzhong Ji, 2018, BMC Bioinformatics.

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

Yunpeng Pan, Evangelos Theodorou, Manan Gandhi, 2018, ArXiv.

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

Yunpeng Pan, Junzhong Ji, Yongping Du, 2018, BMC Bioinformatics.

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

Yunpeng Pan, Yongping Du, Junzhong Ji, 2017, 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Numerical Trajectory Optimization for Stochastic Mechanical Systems

Yunpeng Pan, Evangelos A. Theodorou, George I. Boutselis, 2019, SIAM J. Sci. Comput..

Robust Trajectory Optimization: A Cooperative Stochastic Game Theoretic Approach

Yunpeng Pan, Evangelos Theodorou, Kaivalya Bakshi, 2015, Robotics: Science and Systems.

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

Byron Boots, Yunpeng Pan, Evangelos Theodorou, 2017, ICML.

Parameters Recursive Identification of Minimum Variance Control

Yunpeng Pan, Jie Yao, Zhi Hua Dai, 2013 .