Lin F. Yang (杨林)
Lin F. Yang (杨林)
Assistant Professor, Department of Electrical and Computer Engineering @ UCLA
Verified email at - Homepage
Cited by
Cited by
Near-optimal time and sample complexities for solving Markov decision processes with a generative model
A Sidford, M Wang, X Wu, LF Yang, Y Ye
Proceedings of the 32nd International Conference on Neural Information …, 2018
Reinforcement learning in feature space: Matrix bandit, kernels, and regret bound
L Yang, M Wang
International Conference on Machine Learning, 10746-10756, 2020
Sample-optimal parametric Q-learning using linearly additive features
L Yang, M Wang
International Conference on Machine Learning, 6995-7004, 2019
The hierarchical nature of the spin alignment of dark matter haloes in filaments
MA Aragon-Calvo, LF Yang
Monthly Notices of the Royal Astronomical Society: Letters 440 (1), L46-L50, 2014
Is a good representation sufficient for sample efficient reinforcement learning?
SS Du, SM Kakade, R Wang, LF Yang
arXiv preprint arXiv:1910.03016, 2019
Model-based reinforcement learning with a generative model is minimax optimal
A Agarwal, S Kakade, LF Yang
Conference on Learning Theory, 67-83, 2020
Model-based reinforcement learning with value-targeted regression
A Ayoub, Z Jia, C Szepesvari, M Wang, L Yang
International Conference on Machine Learning, 463-474, 2020
Warmth elevating the depths: shallower voids with warm dark matter
LF Yang, MC Neyrinck, MA Aragón-Calvo, B Falck, J Silk
Monthly Notices of the Royal Astronomical Society 451 (4), 3606-3614, 2015
Misspecified nonconvex statistical optimization for sparse phase retrieval
Z Yang, LF Yang, EX Fang, T Zhao, Z Wang, M Neykov
Mathematical Programming 176 (1), 545-571, 2019
Ringing the initial Universe: the response of overdensity and transformed-density power spectra to initial spikes
MC Neyrinck, LF Yang
Monthly Notices of the Royal Astronomical Society 433 (2), 1628-1633, 2013
Clustering high dimensional dynamic data streams
V Braverman, G Frahling, H Lang, C Sohler, LF Yang
International Conference on Machine Learning, 576-585, 2017
Provably efficient reinforcement learning with general value function approximation
R Wang, R Salakhutdinov, LF Yang
arXiv preprint arXiv:2005.10804, 2020
Variance reduction methods for sublinear reinforcement learning
S Kakade, M Wang, LF Yang
arXiv preprint arXiv:1802.09184, 2018
New time-space upperbounds for directed reachability in high-genus and h-minor-free graphs
D Chakraborty, A Pavan, R Tewari, NV Vinodchandran, LF Yang
34th International Conference on Foundation of Software Technology and …, 2014
The Optical Counterpart of NGC 1313 X-1
L Yang, H Feng, P Kaaret
The Astrophysical Journal 733 (2), 118, 2011
Streaming space complexity of nearly all functions of one variable on frequency vectors
V Braverman, SR Chestnut, DP Woodruff, LF Yang
Proceedings of the 35th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of …, 2016
Streaming symmetric norms via measure concentration
J Błasiok, V Braverman, SR Chestnut, R Krauthgamer, LF Yang
Proceedings of the 49th Annual ACM SIGACT Symposium on Theory of Computing …, 2017
Feature-based q-learning for two-player stochastic games
Z Jia, LF Yang, M Wang
arXiv preprint arXiv:1906.00423, 2019
Model-based multi-agent rl in zero-sum markov games with near-optimal sample complexity
K Zhang, SM Kakade, T Başar, LF Yang
arXiv preprint arXiv:2007.07461, 2020
On reward-free reinforcement learning with linear function approximation
R Wang, SS Du, LF Yang, R Salakhutdinov
arXiv preprint arXiv:2006.11274, 2020
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