Wen Sun
Wen Sun
Cornell University
Verifierad e-postadress på cs.cmu.edu - Startsida
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Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential Prediction
W Sun, A Venkatraman, GJ Gordon, B Boots, JA Bagnell
International Conference on Machine Learning, 2017
1232017
High-Frequency Replanning Under Uncertainty Using Parallel Sampling-Based Motion Planning
W Sun, S Patil, R Alterovitz
IEEE Transactions on Robotics 31 (1), 104 - 116, 2015
512015
Stochastic Extended LQR for Optimization-Based Motion Planning Under Uncertainty
W Sun, J van den Berg, R Alterovitz
IEEE Transactions on Automation Science and Engineering 13 (2), 437-447, 2016
412016
Learning to filter with predictive state inference machines
W Sun, A Venkatraman, B Boots, JA Bagnell
International Conference on Machine Learning, 1197-1205, 2016
392016
Truncated Horizon Policy Search: Combining Reinforcement Learning and Imitation Learning
W Sun, JA Bagnell, B Boots
International Conference on Learning Representations (ICLR 2018), 2018
332018
Model-based rl in contextual decision processes: Pac bounds and exponential improvements over model-free approaches
W Sun, N Jiang, A Krishnamurthy, A Agarwal, J Langford
Conference of Learning Theory (COLT 2019), 2019
32*2019
Dual Policy Iteration
W Sun, G Gordon, JA Bagnell, B Boots
Advances in Neural Information Processing Systems, 2018
312018
Predictive-state decoders: Encoding the future into recurrent networks
A Venkatraman, N Rhinehart, W Sun, L Pinto, M Hebert, B Boots, K Kitani, ...
Advances in Neural Information Processing Systems, 1172-1183, 2017
282017
Safe motion planning for imprecise robotic manipulators by minimizing probability of collision
W Sun, LG Torres, J Van Den Berg, R Alterovitz
Robotics Research, 685-701, 2016
202016
Sketching for Kronecker Product Regression and P-splines
H Diao, Z Song, W Sun, DP Woodruff
International Conference on Artificial Intelligence and Statistics, 2018
172018
Safety-aware algorithms for adversarial contextual bandit
W Sun, D Dey, A Kapoor
International Conference on Machine Learning, 3280-3288, 2017
172017
Provably Efficient Imitation Learning from Observation Alone
W Sun, A Vemula, B Boots, JA Bagnell
International Conference on Machine Learning, 2019
152019
Imitation Learning as -Divergence Minimization
L Ke, M Barnes, W Sun, G Lee, S Choudhury, S Srinivasa
arXiv preprint arXiv:1905.12888, 2019
132019
Contrasting Exploration in Parameter and Action Space: A Zeroth-Order Optimization Perspective
A Vemula, W Sun, JA Bagnell
International Conference on Artificial Intelligence and Statistics, 2019
132019
Online Instrumental Variable Regression with Applications to Online Linear System Identification
A Venkatraman, W Sun, M Hebert, JA Bagnell, B Boots
AAAI, 2016
122016
Motion planning under uncertainty for medical needle steering using optimization in belief space
W Sun, R Alterovitz
2014 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2014
122014
Contextual Memory Trees
W Sun, A Beygelzimer, H Daumé III, J Langford, P Mineiro
International Conference on Machine Learning, 2019
10*2019
Recurrent Predictive State Policy Networks
A Hefny, Z Marinho, W Sun, S Srinivasa, G Gordon
arXiv preprint arXiv:1803.01489, 2018
102018
Gradient Boosting on Stochastic Data Streams
H Hu, W Sun, A Venkatraman, M Hebert, JA Bagnell
International Conference on Artificial Intelligence and Statistics, 2017
102017
Policy poisoning in batch reinforcement learning and control
Y Ma, X Zhang, W Sun, J Zhu
Advances in Neural Information Processing Systems, 14570-14580, 2019
92019
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Artiklar 1–20