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Tengyu Xu
Tengyu Xu
Meta Platforms, Inc.
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Title
Cited by
Cited by
Year
Finite-sample analysis for sarsa with linear function approximation
S Zou, T Xu, Y Liang
Advances in neural information processing systems 32, 2019
1762019
Improving sample complexity bounds for (natural) actor-critic algorithms
T Xu, Z Wang, Y Liang
Advances in Neural Information Processing Systems 33, 4358-4369, 2020
128*2020
Crpo: A new approach for safe reinforcement learning with convergence guarantee
T Xu, Y Liang, G Lan
International Conference on Machine Learning, 11480-11491, 2021
121*2021
Two time-scale off-policy TD learning: Non-asymptotic analysis over Markovian samples
T Xu, S Zou, Y Liang
Advances in neural information processing systems 32, 2019
832019
Reanalysis of variance reduced temporal difference learning
T Xu, Z Wang, Y Zhou, Y Liang
arXiv preprint arXiv:2001.01898, 2020
452020
Algorithms for the estimation of transient surface heat flux during ultra-fast surface cooling
ZF Zhou, TY Xu, B Chen
International Journal of Heat and Mass Transfer 100, 1-10, 2016
422016
Enhanced first and zeroth order variance reduced algorithms for min-max optimization
T Xu, Z Wang, Y Liang, HV Poor
41*2020
Proximal gradient descent-ascent: Variable convergence under k {\L} geometry
Z Chen, Y Zhou, T Xu, Y Liang
arXiv preprint arXiv:2102.04653, 2021
292021
Non-asymptotic convergence of adam-type reinforcement learning algorithms under markovian sampling
H Xiong, T Xu, Y Liang, W Zhang
Proceedings of the AAAI Conference on Artificial Intelligence 35 (12), 10460 …, 2021
282021
Sample complexity bounds for two timescale value-based reinforcement learning algorithms
T Xu, Y Liang
International Conference on Artificial Intelligence and Statistics, 811-819, 2021
272021
Faster algorithm and sharper analysis for constrained markov decision process
T Li, Z Guan, S Zou, T Xu, Y Liang, G Lan
Operations Research Letters 54, 107107, 2024
242024
When will generative adversarial imitation learning algorithms attain global convergence
Z Guan, T Xu, Y Liang
International Conference on Artificial Intelligence and Statistics, 1117-1125, 2021
242021
Doubly robust off-policy actor-critic: Convergence and optimality
T Xu, Z Yang, Z Wang, Y Liang
International Conference on Machine Learning, 11581-11591, 2021
232021
When Will Gradient Methods Converge to Max-margin Classifier under ReLU Models?
T Xu, Y Zhou, K Ji, Y Liang
arXiv preprint arXiv:1806.04339, 2018
23*2018
Model-based offline meta-reinforcement learning with regularization
S Lin, J Wan, T Xu, Y Liang, J Zhang
arXiv preprint arXiv:2202.02929, 2022
152022
Provably efficient offline reinforcement learning with trajectory-wise reward
T Xu, Y Wang, S Zou, Y Liang
arXiv preprint arXiv:2206.06426, 2022
112022
PER-ETD: A polynomially efficient emphatic temporal difference learning method
Z Guan, T Xu, Y Liang
arXiv preprint arXiv:2110.06906, 2021
82021
Deterministic policy gradient: Convergence analysis
H Xiong, T Xu, L Zhao, Y Liang, W Zhang
Uncertainty in Artificial Intelligence, 2159-2169, 2022
62022
A Unifying Framework of Off-Policy General Value Function Evaluation
T Xu, Z Yang, Z Wang, Y Liang
Advances in Neural Information Processing Systems 35, 13570-13583, 2022
4*2022
Constraint‐based multi‐agent reinforcement learning for collaborative tasks
X Shang, T Xu, I Karamouzas, M Kallmann
Computer Animation and Virtual Worlds 34 (3-4), e2182, 2023
22023
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