/Wen Sun

Wen Sun

PhD Student
Email: wensun@andrew.cmu.edu
Office: 214 Elliot Dunlap Smith Hall
Phone: (412) 268-3818
Advisor: J. Andrew (Drew) Bagnell
Mailing Address
Displaying 16 Publications
Truncated Horizon Policy Search: Combining Reinforcement Learning and Imitation Learning
Wen Sun, J. Andrew Bagnell and Byron Boots

Conference Paper, International Conference on Learning Representations (ICLR 2018), April, 2018
Sketching for Kronecker Product Regression and P-splines
Huaian Diao, Zhao Song, Wen Sun and David P. Woodruff

Conference Paper, International Conference on Artificial Intelligence and Statistics (AISTATS 2018), April, 2018
Dual Policy Iteration
Wen Sun, Geoff Gordon, Byron Boots and Drew Bagnell

Tech. Report, CMU-TI-TR-18-08, April, 2018
Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential Prediction
Wen Sun, Arun Venkatraman, Geoff Gordon, Byron Boots and J. Andrew (Drew) Bagnell

Conference Paper, Thirty-fourth International Conference on Machine Learning (ICML 2017), August, 2017
Safety-Aware Algorithms for Adversarial Contextual Bandit
Wen Sun, Debadeepta Dey and Ashish Kapoor

Conference Paper, Thirty-fourth International Conference on Machine Learning (ICML 2017), August, 2017
Gradient Boosting on Stochastic Data Streams
Hanzhang Hu, Wen Sun, Arun Venkatraman, Martial Hebert and J. Andrew (Drew) Bagnell

Conference Paper, International Conference on Artificial Intelligence and Statistics (AISTATS 2017), April, 2017
Risk-Aware Algorithms for Adversarial Contextual Bandits
Wen Sun, Debadeepta Dey and Ashish Kapoor

Tech. Report, CMU-RI-TR-16-63, Robotics Institute, Carnegie Mellon University, arXiv, October, 2016
No-Regret Replanning under Uncertainty
Wen Sun, Niteesh Sood, Debadeepta Dey, Gireeja Ranade, Siddharth Prakash and Ashish Kapoor

Tech. Report, CMU-RI-TR-16-64, Robotics Institute, Carnegie Mellon University, arXiv, September, 2016
Inference Machines for Nonparametric Filter Learning
Arun Venkatraman, Wen Sun, Martial Hebert, Byron Boots and J. Andrew (Drew) Bagnell

25th International Joint Conference on Artificial Intelligence (IJCAI-16), July, 2016
Inference Machines for Nonparametric Filter Learning
Arun Venkatraman, Wen Sun, Martial Hebert, Byron Boots and J. Andrew (Drew) Bagnell

Conference Paper, 25th International Joint Conference on Artificial Intelligence (IJCAI-16), July, 2016
Learning to Filter with Predictive State Inference Machines
Wen Sun, Arun Venkatraman, Byron Boots and J. Andrew (Drew) Bagnell

Conference Paper, International Conference on Machine Learning (ICML 2016), June, 2016
Learning to Smooth with Bidirectional Predictive State Inference Machines
Wen Sun, Roberto Capobianco, Geoffrey Gordon, J. Andrew (Drew) Bagnell and Byron Boots

Conference Paper, The Conference on Uncertainty in Artificial Intelligence (UAI 2016), June, 2016
Online Bellman Residual and Temporal Difference Algorithms with Predictive Error Guarantees
Wen Sun and J. Andrew (Drew) Bagnell

Conference Paper, The 25th International Joint Conference on Artificial Intelligence - IJCAI 2016, April, 2016
Online Instrumental Variable Regression with Applications to Online Linear System Identification
Arun Venkatraman, Wen Sun, Martial Hebert, J. Andrew (Drew) Bagnell and Byron Boots

Conference Paper, Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16), February, 2016
Online Bellman Residual Algorithms with Predictive Error Guarantees
Wen Sun and J. Andrew (Drew) Bagnell

Conference Paper, The 31st Conference on Uncertainty in Artificial Intelligence (UAI), July, 2015
2017-09-13T10:38:37+00:00