Wen Sun
Wen Sun
Assistant Professor, Cornell University
Verified email at cornell.edu - Homepage
Cited by
Cited by
Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential Prediction
W Sun, A Venkatraman, GJ Gordon, B Boots, JA Bagnell
International Conference on Machine Learning, 2017
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
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
Imitation learning as f-divergence minimization
L Ke, S Choudhury, M Barnes, W Sun, G Lee, S Srinivasa
International Workshop on the Algorithmic Foundations of Robotics, 313-329, 2020
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
Truncated Horizon Policy Search: Combining Reinforcement Learning and Imitation Learning
W Sun, JA Bagnell, B Boots
International Conference on Learning Representations (ICLR 2018), 2018
Dual Policy Iteration
W Sun, G Gordon, JA Bagnell, B Boots
Advances in Neural Information Processing Systems, 2018
Learning to filter with predictive state inference machines
W Sun, A Venkatraman, B Boots, JA Bagnell
International Conference on Machine Learning, 1197-1205, 2016
Corruption-robust exploration in episodic reinforcement learning
T Lykouris, M Simchowitz, A Slivkins, W Sun
Conference on Learning Theory, 3242-3245, 2021
Flambe: Structural complexity and representation learning of low rank mdps
A Agarwal, S Kakade, A Krishnamurthy, W Sun
arXiv preprint arXiv:2006.10814, 2020
Pc-pg: Policy cover directed exploration for provable policy gradient learning
A Agarwal, M Henaff, S Kakade, W Sun
arXiv preprint arXiv:2007.08459, 2020
Policy poisoning in batch reinforcement learning and control
Y Ma, X Zhang, W Sun, X Zhu
arXiv preprint arXiv:1910.05821, 2019
Provably Efficient Imitation Learning from Observation Alone
W Sun, A Vemula, B Boots, JA Bagnell
International Conference on Machine Learning, 2019
Disagreement-Regularized Imitation Learning
K Brantley, W Sun, M Henaff
International Conference on Learning Representations (ICLR 2020), 2020
Sketching for Kronecker Product Regression and P-splines
H Diao, Z Song, W Sun, DP Woodruff
International Conference on Artificial Intelligence and Statistics, 2018
Safety-aware algorithms for adversarial contextual bandit
W Sun, D Dey, A Kapoor
International Conference on Machine Learning, 3280-3288, 2017
Predictive-state decoders: Encoding the future into recurrent networks
A Venkatraman, N Rhinehart, W Sun, L Pinto, M Hebert, B Boots, ...
arXiv preprint arXiv:1709.08520, 2017
Information theoretic regret bounds for online nonlinear control
S Kakade, A Krishnamurthy, K Lowrey, M Ohnishi, W Sun
arXiv preprint arXiv:2006.12466, 2020
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
Reinforcement learning: Theory and algorithms
A Agarwal, N Jiang, SM Kakade, W Sun
CS Dept., UW Seattle, Seattle, WA, USA, Tech. Rep, 2019
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