Ruosong Wang

Citirano

	Sve	Od 2019.
Citati	4765	4725
H-indeks	26	26
i10-indeks	35	33

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Suautori

Simon Shaolei DuAssistant Professor, School of Computer Science and Engineering, University of WashingtonPotvrđena adresa e-pošte na cs.washington.edu
Ruslan SalakhutdinovUPMC Professor, Machine Learning Department, CMUPotvrđena adresa e-pošte na cs.cmu.edu
Zhiyuan LiAssistant Professor, Toyota Technological Institute at ChicagoPotvrđena adresa e-pošte na ttic.edu
Sanjeev AroraProfessor of Computer Science, Princeton UniversityPotvrđena adresa e-pošte na cs.princeton.edu
Sham M KakadeHarvard UniversityPotvrđena adresa e-pošte na seas.harvard.edu
Wei HuAssistant Professor of Computer Science and Engineering, University of MichiganPotvrđena adresa e-pošte na umich.edu
Hanrui ZhangThe Chinese University of Hong KongPotvrđena adresa e-pošte na cse.cuhk.edu.hk
Lijie ChenUC BerkeleyPotvrđena adresa e-pošte na berkeley.edu
Jason D. LeeAssociate Professor of Electrical Engineering and Computer Science, Princeton UniversityPotvrđena adresa e-pošte na princeton.edu
Gaurav MahajanPostdoctoral Associate, Yale UniversityPotvrđena adresa e-pošte na yale.edu
Keyulu XuMITPotvrđena adresa e-pošte na mit.edu
Barnabas PoczosAssociate professor, Carnegie Mellon UniversityPotvrđena adresa e-pošte na cs.cmu.edu
Kangcheng HouUniversity of California, Los AngelesPotvrđena adresa e-pošte na ucla.edu
Shachar LovettAssociate Professor of Computer Science, University of California San DiegoPotvrđena adresa e-pošte na eng.ucsd.edu
Wen SunAssistant Professor, Cornell UniversityPotvrđena adresa e-pošte na cornell.edu
Jian LiTsinghua UniversityPotvrđena adresa e-pošte na mail.tsinghua.edu.cn
Dean FosterAmazon, NYCPotvrđena adresa e-pošte na amazon.com
Akshay KrishnamurthyUniversity of Massachusetts AmherstPotvrđena adresa e-pošte na cs.umass.edu
Yining WangAssistant professor, Warrington College of Business, University of FloridaPotvrđena adresa e-pošte na warrington.ufl.edu
Peilin ZhongGoogle ResearchPotvrđena adresa e-pošte na google.com

Prati

Ruosong Wang

Assistant Professor, Peking University

Potvrđena adresa e-pošte na pku.edu.cn

reinforcement learning


Naslov Poredaj po navodima Poredaj po godini Poredaj po naslovu	Citirano Citirano	Godina
Fine-grained analysis of optimization and generalization for overparameterized two-layer neural networks S Arora, S Du, W Hu, Z Li, R Wang International Conference on Machine Learning, 322-332, 2019	1049	2019
On exact computation with an infinitely wide neural net S Arora, SS Du, W Hu, Z Li, RR Salakhutdinov, R Wang Advances in neural information processing systems 32, 2019	989	2019
Graph neural tangent kernel: Fusing graph neural networks with graph kernels SS Du, K Hou, RR Salakhutdinov, B Poczos, R Wang, K Xu Advances in neural information processing systems 32, 2019	292	2019
Is a good representation sufficient for sample efficient reinforcement learning? SS Du, SM Kakade, R Wang, LF Yang arXiv preprint arXiv:1910.03016, 2019	242	2019
Reinforcement learning with general value function approximation: Provably efficient approach via bounded eluder dimension R Wang, RR Salakhutdinov, L Yang Advances in Neural Information Processing Systems 33, 6123-6135, 2020	231*	2020
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	230	2021
What are the statistical limits of offline RL with linear function approximation? R Wang, DP Foster, SM Kakade arXiv preprint arXiv:2010.11895, 2020	185	2020
Harnessing the power of infinitely wide deep nets on small-data tasks S Arora, SS Du, Z Li, R Salakhutdinov, R Wang, D Yu arXiv preprint arXiv:1910.01663, 2019	182	2019
Optimism in reinforcement learning with generalized linear function approximation Y Wang, R Wang, SS Du, A Krishnamurthy arXiv preprint arXiv:1912.04136, 2019	172	2019
Enhanced convolutional neural tangent kernels Z Li, R Wang, D Yu, SS Du, W Hu, R Salakhutdinov, S Arora arXiv preprint arXiv:1911.00809, 2019	131	2019
On reward-free reinforcement learning with linear function approximation R Wang, SS Du, L Yang, RR Salakhutdinov Advances in neural information processing systems 33, 17816-17826, 2020	123	2020
Provably efficient Q-learning with function approximation via distribution shift error checking oracle SS Du, Y Luo, R Wang, H Zhang Advances in Neural Information Processing Systems 32, 2019	105	2019
Is long horizon rl more difficult than short horizon rl? R Wang, SS Du, L Yang, S Kakade Advances in Neural Information Processing Systems 33, 9075-9085, 2020	72*	2020
Agnostic -learning with Function Approximation in Deterministic Systems: Near-Optimal Bounds on Approximation Error and Sample Complexity SS Du, JD Lee, G Mahajan, R Wang Advances in Neural Information Processing Systems 33, 22327-22337, 2020	63*	2020
Preference-based reinforcement learning with finite-time guarantees Y Xu, R Wang, L Yang, A Singh, A Dubrawski Advances in Neural Information Processing Systems 33, 18784-18794, 2020	60	2020
Nearly optimal sampling algorithms for combinatorial pure exploration L Chen, A Gupta, J Li, M Qiao, R Wang Conference on Learning Theory, 482-534, 2017	58	2017
Exponential separations in the energy complexity of leader election YJ Chang, T Kopelowitz, S Pettie, R Wang, W Zhan ACM Transactions on Algorithms (TALG) 15 (4), 1-31, 2019	55	2019
An exponential lower bound for linearly realizable mdp with constant suboptimality gap Y Wang, R Wang, S Kakade Advances in Neural Information Processing Systems 34, 9521-9533, 2021	51	2021
Instabilities of offline rl with pre-trained neural representation R Wang, Y Wu, R Salakhutdinov, S Kakade International Conference on Machine Learning, 10948-10960, 2021	51	2021
Tight Bounds for ℓ₁ Oblivious Subspace Embeddings R Wang, DP Woodruff ACM Transactions on Algorithms (TALG) 18 (1), 1-32, 2022	40	2022

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