Xin Liu
Orcid: 0000-0001-5869-3186Affiliations:
- ShanghaiTech University, Shanghai, China
- Arizona State University, School of Electrical, Computer and Energy Engineering, Tempe, AZ, USA (former)
According to our database1,
Xin Liu
authored at least 31 papers
between 2016 and 2024.
Collaborative distances:
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Bibliography
2024
A Reinforcement Learning and Prediction-Based Lookahead Policy for Vehicle Repositioning in Online Ride-Hailing Systems.
IEEE Trans. Intell. Transp. Syst., February, 2024
SIGMETRICS Perform. Evaluation Rev., February, 2024
Federated Reinforcement Learning for Electric Vehicles Charging Control on Distribution Networks.
IEEE Internet Things J., February, 2024
2023
Federated Reinforcement Learning for Electric Vehicles Charging Control on Distribution Networks.
CoRR, 2023
Sample Efficient Reinforcement Learning in Mixed Systems through Augmented Samples and Its Applications to Queueing Networks.
CoRR, 2023
Rectified Pessimistic-Optimistic Learning for Stochastic Continuum-armed Bandit with Constraints.
Proceedings of the Learning for Dynamics and Control Conference, 2023
Proceedings of the International Conference on Machine Learning, 2023
2022
Universal Scaling of Distributed Queues Under Load Balancing in the Super-Halfin-Whitt Regime.
IEEE/ACM Trans. Netw., 2022
SIGMETRICS Perform. Evaluation Rev., 2022
Scalable and Sample Efficient Distributed Policy Gradient Algorithms in Multi-Agent Networked Systems.
CoRR, 2022
Rectified Pessimistic-Optimistic Learning for Stochastic Continuum-armed Bandit with Constraints.
CoRR, 2022
Proceedings of the SIGMETRICS/PERFORMANCE '22: ACM SIGMETRICS/IFIP PERFORMANCE Joint International Conference on Measurement and Modeling of Computer Systems, Mumbai, India, June 6, 2022
Online Convex Optimization with Hard Constraints: Towards the Best of Two Worlds and Beyond.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the 58th Annual Allerton Conference on Communication, 2022
Triple-Q: A Model-Free Algorithm for Constrained Reinforcement Learning with Sublinear Regret and Zero Constraint Violation.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
A Provably-Efficient Model-Free Algorithm for Infinite-Horizon Average-Reward Constrained Markov Decision Processes.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
CoRR, 2021
CoRR, 2021
An Efficient Pessimistic-Optimistic Algorithm for Stochastic Linear Bandits with General Constraints.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Beyond Scaling: Calculable Error Bounds of the Power-of-Two-Choices Mean-Field Model in Heavy-Traffic.
Proceedings of the MobiHoc '21: The Twenty-second International Symposium on Theory, 2021
2020
J. Appl. Probab., 2020
2019
IEEE Trans. Netw. Sci. Eng., 2019
Spatial-temporal routing for supporting end-to-end hard deadlines in multi-hop networks.
Perform. Evaluation, 2019
2018
A Simple Steady-State Analysis of Load Balancing Algorithms in the Sub-Halfin-Whitt Regime.
SIGMETRICS Perform. Evaluation Rev., 2018
2017
Proceedings of the 2017 ACM SIGMETRICS / International Conference on Measurement and Modeling of Computer Systems, Urbana-Champaign, IL, USA, June 05, 2017
2016
Spatial-temporal routing for supporting end-to-end hard deadlines in multi-hop networks.
Proceedings of the 2016 Annual Conference on Information Science and Systems, 2016