Xin Liu
Xin Liu
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Cited by
Cited by
Empty-car routing in ridesharing systems
A Braverman, JG Dai, X Liu, L Ying
Operations Research 67 (5), 1437-1452, 2019
Triple-q: A model-free algorithm for constrained reinforcement learning with sublinear regret and zero constraint violation
H Wei, X Liu, L Ying
International Conference on Artificial Intelligence and Statistics, 3274-3307, 2022
Steady-state analysis of load-balancing algorithms in the sub-Halfin–Whitt regime
X Liu, L Ying
Journal of Applied Probability 57 (2), 578-596, 2020
Joint beamforming and user selection in multicast downlink channel under secrecy-outage constraint
X Liu, F Gao, G Wang, X Wang
IEEE communications letters 18 (1), 82-85, 2013
An efficient pessimistic-optimistic algorithm for stochastic linear bandits with general constraints
X Liu, B Li, P Shi, L Ying
Advances in Neural Information Processing Systems 34, 24075-24086, 2021
A Provably-Efficient Model-Free Algorithm for Infinite-Horizon Average-Reward Constrained Markov Decision Processes
H Wei, X Liu, L Ying
AAAI, 2022
Universal scaling of distributed queues under load balancing in the super-Halfin-Whitt regime
X Liu, L Ying
IEEE/ACM Transactions on Networking 30 (1), 190-201, 2021
POND: Pessimistic-optimistic online dispatch
X Liu, B Li, P Shi, L Ying
arXiv preprint arXiv:2010.09995, 2020
Steady‐state analysis of load balancing with Coxian‐2 distributed service times
X Liu, K Gong, L Ying
Naval Research Logistics (NRL) 69 (1), 57-75, 2022
On achieving zero delay with power-of-d-choices load balancing
X Liu, L Ying
IEEE INFOCOM 2018-IEEE Conference on Computer Communications, 297-305, 2018
Spatial–temporal routing for supporting end-to-end hard deadlines in multi-hop networks
X Liu, W Wang, L Ying
Performance Evaluation 135, 102007, 2019
Fluid-model-based car routing for modern ridesharing systems
A Braverman, JG Dai, X Liu, L Ying
Proceedings of the 2017 ACM SIGMETRICS/International Conference on …, 2017
Online Convex Optimization with Hard Constraints: Towards the Best of Two Worlds and Beyond
H Guo, X Liu, H Wei, L Ying
Advances in Neural Information Processing Systems, 2022
Rectified Pessimistic-Optimistic Learning for Stochastic Continuum-armed Bandit with Constraints
H Guo, Q Zhu, X Liu
arXiv preprint arXiv:2211.14720, 2022
Beyond Scaling: Calculable Error Bounds of the Power-of-Two-Choices Mean-Field Model in Heavy-Traffic
Hairi, X Liu, L Ying
arXiv preprint arXiv:2012.06613, 2020
Sample efficient reinforcement learning in mixed systems through augmented samples and its applications to queueing networks
H Wei, X Liu, W Wang, L Ying
Advances in Neural Information Processing Systems 36, 2024
Scalable and sample efficient distributed policy gradient algorithms in multi-agent networked systems
X Liu, H Wei, L Ying
arXiv preprint arXiv:2212.06357, 2022
Large-system insensitivity of zero-waiting load balancing algorithms
X Liu, K Gong, L Ying
ACM SIGMETRICS Performance Evaluation Review 50 (1), 101-102, 2022
Steady state analysis of load balancing algorithms in the heavy traffic regime
X Liu
Arizona State University, 2019
Exploration, exploitation, and engagement in multi-armed bandits with abandonment
Z Yang, X Liu, L Ying
Journal of Machine Learning Research 25 (9), 1-55, 2024
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