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Tianjiao Li
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Publications
- 2023
- [j18]Tianjiao Li, Guanghui Lan, Ashwin Pananjady:
Accelerated and Instance-Optimal Policy Evaluation with Linear Function Approximation. SIAM J. Math. Data Sci. 5(1): 174-200 (2023) - [i11]Sasila Ilandarideva, Anatoli B. Juditsky, Guanghui Lan, Tianjiao Li:
Accelerated stochastic approximation with state-dependent noise. CoRR abs/2307.01497 (2023) - [i10]Tianjiao Li, Guanghui Lan:
A simple uniformly optimal method without line search for convex optimization. CoRR abs/2310.10082 (2023) - 2022
- [j13]Georgios Kotsalis, Guanghui Lan, Tianjiao Li:
Simple and Optimal Methods for Stochastic Variational Inequalities, II: Markovian Noise and Policy Evaluation in Reinforcement Learning. SIAM J. Optim. 32(2): 1120-1155 (2022) - [j12]Georgios Kotsalis, Guanghui Lan, Tianjiao Li:
Simple and Optimal Methods for Stochastic Variational Inequalities, I: Operator Extrapolation. SIAM J. Optim. 32(3): 2041-2073 (2022) - [i9]Tianjiao Li, Feiyang Wu, Guanghui Lan:
Stochastic first-order methods for average-reward Markov decision processes. CoRR abs/2205.05800 (2022) - 2021
- [i4]Tianjiao Li, Ziwei Guan, Shaofeng Zou, Tengyu Xu, Yingbin Liang, Guanghui Lan:
Faster Algorithm and Sharper Analysis for Constrained Markov Decision Process. CoRR abs/2110.10351 (2021) - [i3]Tianjiao Li, Guanghui Lan, Ashwin Pananjady:
Accelerated and instance-optimal policy evaluation with linear function approximation. CoRR abs/2112.13109 (2021) - 2020
- [i2]Georgios Kotsalis, Guanghui Lan, Tianjiao Li:
Simple and optimal methods for stochastic variational inequalities, I: operator extrapolation. CoRR abs/2011.02987 (2020) - [i1]Georgios Kotsalis, Guanghui Lan, Tianjiao Li:
Simple and optimal methods for stochastic variational inequalities, II: Markovian noise and policy evaluation in reinforcement learning. CoRR abs/2011.08434 (2020)
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