Wen Sun

Citirano

	Sve	Od 2018.
Citati	2830	2715
H-indeks	30	30
i10-indeks	49	48

940

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705

2016201720182019202020212022202328 77 112 190 345 636 927 491

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Suautori

J. Andrew BagnellCarnegie Mellon UniversityPotvrđena adresa e-pošte na ri.cmu.edu
Masatoshi UeharaCornell UniversityPotvrđena adresa e-pošte na cornell.edu
Byron BootsAssociate Professor, University of WashingtonPotvrđena adresa e-pošte na cs.washington.edu
Alekh AgarwalGooglePotvrđena adresa e-pošte na google.com
Akshay KrishnamurthyUniversity of Massachusetts AmherstPotvrđena adresa e-pošte na cs.umass.edu
Sham M KakadeHarvard UniversityPotvrđena adresa e-pošte na seas.harvard.edu
Arun VenkatramanAurora Innovation / past: Carnegie Mellon UniversityPotvrđena adresa e-pošte na cs.cmu.edu
Nan JiangAssistant Professor of Computer Science, UIUCPotvrđena adresa e-pošte na illinois.edu
Ron AlterovitzProfessor of Computer Science, University of North Carolina at Chapel HillPotvrđena adresa e-pošte na cs.unc.edu
Xuezhou ZhangPrinceton UniversityPotvrđena adresa e-pošte na princeton.edu
Jason D. LeeAssociate Professor of Electrical Engineering and Computer Science, Princeton UniversityPotvrđena adresa e-pošte na princeton.edu
Geoff GordonProfessor of Machine Learning, Carnegie Mellon UniversityPotvrđena adresa e-pošte na cs.cmu.edu
Nathan KallusCornell UniversityPotvrđena adresa e-pošte na cornell.edu
John LangfordMicrosoft Research New YorkPotvrđena adresa e-pošte na hunch.net
Yuda SongCarnegie Mellon UniversityPotvrđena adresa e-pošte na andrew.cmu.edu
Ashish KapoorCEO and Chief Scientist, Scaled FoundationsPotvrđena adresa e-pošte na scaledfoundations.ai
Anirudh VemulaAurora InnovationPotvrđena adresa e-pošte na aurora.tech
MAX SIMCHOWITZMITPotvrđena adresa e-pošte na mit.edu
Siddhartha SrinivasaBoeing Endowed Professor, University of WashingtonPotvrđena adresa e-pošte na cs.washington.edu
martial hebertCMUPotvrđena adresa e-pošte na ri.cmu.edu

Prati

Wen Sun

Assistant Professor, Cornell University

Potvrđena adresa e-pošte na cornell.edu - Početna stranica

Machine Learning Motion Planning


Naslov Poredaj po navodima Poredaj po godini Poredaj po naslovu	Citirano Citirano	Godina
Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential Prediction W Sun, A Venkatraman, GJ Gordon, B Boots, JA Bagnell International Conference on Machine Learning, 2017	231	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	181	2019
Flambe: Structural complexity and representation learning of low rank mdps A Agarwal, S Kakade, A Krishnamurthy, W Sun Advances in neural information processing systems 33, 20095-20107, 2020	153	2020
Reinforcement learning: Theory and algorithms A Agarwal, N Jiang, SM Kakade, W Sun CS Dept., UW Seattle, Seattle, WA, USA, Tech. Rep, 10-4, 2019	134	2019
Bilinear classes: A structural framework for provable generalization in rl S Du, S Kakade, J Lee, S Lovett, G Mahajan, W Sun, R Wang International Conference on Machine Learning, 2826-2836, 2021	125	2021
Imitation learning as f-divergence minimization L Ke, S Choudhury, M Barnes, W Sun, G Lee, S Srinivasa Algorithmic Foundations of Robotics XIV: Proceedings of the Fourteenth …, 2021	103	2021
Pc-pg: Policy cover directed exploration for provable policy gradient learning A Agarwal, M Henaff, S Kakade, W Sun Advances in neural information processing systems 33, 13399-13412, 2020	99	2020
Information theoretic regret bounds for online nonlinear control S Kakade, A Krishnamurthy, K Lowrey, M Ohnishi, W Sun Advances in Neural Information Processing Systems 33, 15312-15325, 2020	90	2020
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	88	2015
Corruption-robust exploration in episodic reinforcement learning T Lykouris, M Simchowitz, A Slivkins, W Sun Conference on Learning Theory, 3242-3245, 2021	87	2021
Policy poisoning in batch reinforcement learning and control Y Ma, X Zhang, W Sun, J Zhu Advances in Neural Information Processing Systems 32, 2019	83	2019
Truncated Horizon Policy Search: Combining Reinforcement Learning and Imitation Learning W Sun, JA Bagnell, B Boots International Conference on Learning Representations (ICLR 2018), 2018	83	2018
Provably Efficient Imitation Learning from Observation Alone W Sun, A Vemula, B Boots, JA Bagnell International Conference on Machine Learning, 2019	82	2019
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	80	2016
Disagreement-Regularized Imitation Learning K Brantley, W Sun, M Henaff International Conference on Learning Representations (ICLR 2020), 2020	76	2020
Pessimistic model-based offline reinforcement learning under partial coverage M Uehara, W Sun arXiv preprint arXiv:2107.06226, 2021	72*	2021
Dual Policy Iteration W Sun, G Gordon, JA Bagnell, B Boots Advances in Neural Information Processing Systems, 2018	68	2018
Safety-aware algorithms for adversarial contextual bandit W Sun, D Dey, A Kapoor International Conference on Machine Learning, 3280-3288, 2017	60	2017
Representation learning for online and offline rl in low-rank mdps M Uehara, X Zhang, W Sun arXiv preprint arXiv:2110.04652, 2021	59	2021
Learning to filter with predictive state inference machines W Sun, A Venkatraman, B Boots, JA Bagnell International Conference on Machine Learning, 1197-1205, 2016	57	2016

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