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Lin F. Yang (杨林)
Lin F. Yang (杨林)
Assistant Professor, Department of Electrical and Computer Engineering @ UCLA
Verified email at ee.ucla.edu - Homepage
Title
Cited by
Cited by
Year
Sample-optimal parametric q-learning using linearly additive features
L Yang, M Wang
International Conference on Machine Learning, 6995-7004, 2019
168*2019
Reinforcement learning in feature space: Matrix bandit, kernels, and regret bound
L Yang, M Wang
International Conference on Machine Learning, 10746-10756, 2020
1622020
Near-optimal time and sample complexities for solving Markov decision processes with a generative model
A Sidford, M Wang, X Wu, L Yang, Y Ye
Advances in Neural Information Processing Systems 31, 2018
157*2018
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
1282020
Is a good representation sufficient for sample efficient reinforcement learning?
SS Du, SM Kakade, R Wang, LF Yang
arXiv preprint arXiv:1910.03016, 2019
1122019
Model-based reinforcement learning with a generative model is minimax optimal
A Agarwal, S Kakade, LF Yang
Conference on Learning Theory, 67-83, 2020
102*2020
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
922014
Model-based multi-agent rl in zero-sum markov games with near-optimal sample complexity
K Zhang, S Kakade, T Basar, L Yang
Advances in Neural Information Processing Systems 33, 1166-1178, 2020
572020
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
542020
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
492020
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
462015
Solving discounted stochastic two-player games with near-optimal time and sample complexity
A Sidford, M Wang, L Yang, Y Ye
International Conference on Artificial Intelligence and Statistics, 2992-3002, 2020
452020
Provably efficient reinforcement learning with general value function approximation
R Wang, R Salakhutdinov, LF Yang
432020
Clustering high dimensional dynamic data streams
V Braverman, G Frahling, H Lang, C Sohler, LF Yang
International Conference on Machine Learning, 576-585, 2017
342017
Feature-based q-learning for two-player stochastic games
Z Jia, LF Yang, M Wang
arXiv preprint arXiv:1906.00423, 2019
332019
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
31*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
312013
Q-learning with logarithmic regret
K Yang, L Yang, S Du
International Conference on Artificial Intelligence and Statistics, 1576-1584, 2021
302021
Variance reduction methods for sublinear reinforcement learning
S Kakade, M Wang, LF Yang
302018
The Optical Counterpart of NGC 1313 X-1
L Yang, H Feng, P Kaaret
The Astrophysical Journal 733 (2), 118, 2011
302011
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Articles 1–20