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Weichao Mao
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2020 – today
- 2025
- [j4]Weichao Mao
, Kaiqing Zhang
Model-Free Nonstationary Reinforcement Learning: Near-Optimal Regret and Applications in Multiagent Reinforcement Learning and Inventory Control. Manag. Sci. 71(2): 1564-1580 (2025) - [i11]Zhihui Xie, Jie Chen, Liyu Chen, Weichao Mao, Jingjing Xu, Lingpeng Kong:
Teaching Language Models to Critique via Reinforcement Learning. CoRR abs/2502.03492 (2025) - 2024
- [j3]Zhenzhe Zheng
On Designing Market Model and Pricing Mechanisms for IoT Data Exchange. IEEE Trans. Mob. Comput. 23(11): 10202-10218 (2024) - [c20]Haoran Qiu, Weichao Mao, Chen Wang, Saurabh Jha, Hubertus Franke, Chandra Narayanaswami, Zbigniew Kalbarczyk, Tamer Basar, Ravishankar K. Iyer:
When Green Computing Meets Performance and Resilience SLOs. DSN-S 2024: 17-22 - [c19]Xiangyuan Zhang, Weichao Mao, Saviz Mowlavi, Mouhacine Benosman, Tamer Basar:
Controlgym: Large-scale control environments for benchmarking reinforcement learning algorithms. L4DC 2024: 181-196 - [c18]Weichao Mao, Haoran Qiu, Chen Wang, Hubertus Franke, Zbigniew Kalbarczyk, Tamer Basar:
$\widetilde{O}(T^{-1})$ {C}onvergence to (coarse) correlated equilibria in full-information general-sum markov games. L4DC 2024: 361-374 - [c17]Haoran Qiu, Weichao Mao, Archit Patke, Shengkun Cui, Chen Wang, Hubertus Franke, Zbigniew Kalbarczyk, Tamer Basar, Ravi K. Iyer:
FLASH: Fast Model Adaptation in ML-Centric Cloud Platforms. MLSys 2024 - [c16]Haoran Qiu, Weichao Mao, Archit Patke, Shengkun Cui, Saurabh Jha, Chen Wang, Hubertus Franke, Zbigniew Kalbarczyk, Tamer Basar, Ravishankar K. Iyer:
Power-aware Deep Learning Model Serving with μ-Serve. USENIX ATC 2024: 75-93 - [i10]Weichao Mao, Haoran Qiu, Chen Wang, Hubertus Franke, Zbigniew Kalbarczyk, Tamer Basar:
Õ(T-1) Convergence to (Coarse) Correlated Equilibria in Full-Information General-Sum Markov Games. CoRR abs/2403.07890 (2024) - [i9]Xiangyuan Zhang, Weichao Mao, Haoran Qiu, Tamer Basar:
Decision Transformer as a Foundation Model for Partially Observable Continuous Control. CoRR abs/2404.02407 (2024) - [i8]Haoran Qiu, Weichao Mao, Archit Patke, Shengkun Cui, Saurabh Jha, Chen Wang, Hubertus Franke, Zbigniew T. Kalbarczyk, Tamer Basar, Ravishankar K. Iyer:
Efficient Interactive LLM Serving with Proxy Model-based Sequence Length Prediction. CoRR abs/2404.08509 (2024) - 2023
- [j2]Weichao Mao
Provably Efficient Reinforcement Learning in Decentralized General-Sum Markov Games. Dyn. Games Appl. 13(1): 165-186 (2023) - [c15]Weichao Mao, Haoran Qiu, Chen Wang, Hubertus Franke, Zbigniew Kalbarczyk, Ravishankar K. Iyer, Tamer Basar:
Multi-Agent Meta-Reinforcement Learning: Sharper Convergence Rates with Task Similarity. NeurIPS 2023 - [c14]Haoran Qiu, Weichao Mao, Chen Wang, Hubertus Franke, Alaa Youssef, Zbigniew T. Kalbarczyk, Tamer Basar, Ravishankar K. Iyer:
AWARE: Automate Workload Autoscaling with Reinforcement Learning in Production Cloud Systems. USENIX ATC 2023: 387-402 - [i7]Weichao Mao, Ruta Desai, Michael Louis Iuzzolino, Nitin Kamra:
Action Dynamics Task Graphs for Learning Plannable Representations of Procedural Tasks. CoRR abs/2302.05330 (2023) - [i6]Xiangyuan Zhang, Weichao Mao, Saviz Mowlavi, Mouhacine Benosman, Tamer Basar:
Controlgym: Large-Scale Safety-Critical Control Environments for Benchmarking Reinforcement Learning Algorithms. CoRR abs/2311.18736 (2023) - 2022
- [c13]Haoran Qiu
SIMPPO: a scalable and incremental online learning framework for serverless resource management. SoCC 2022: 306-322 - [c12]Haoran Qiu
Reinforcement learning for resource management in multi-tenant serverless platforms. EuroMLSys@EuroSys 2022: 20-28 - [c11]Weichao Mao, Lin Yang
On Improving Model-Free Algorithms for Decentralized Multi-Agent Reinforcement Learning. ICML 2022: 15007-15049 - [c10]Weichao Mao, Haoran Qiu, Chen Wang, Hubertus Franke, Zbigniew Kalbarczyk, Ravishankar K. Iyer, Tamer Basar:
A Mean-Field Game Approach to Cloud Resource Management with Function Approximation. NeurIPS 2022 - 2021
- [c9]Sujay Bhatt, Weichao Mao, Alec Koppel, Tamer Basar:
Semiparametric Information State Embedding for Policy Search under Imperfect Information. CDC 2021: 4501-4506 - [c8]Weichao Mao, Kaiqing Zhang, Ruihao Zhu, David Simchi-Levi, Tamer Basar:
Near-Optimal Model-Free Reinforcement Learning in Non-Stationary Episodic MDPs. ICML 2021: 7447-7458 - [i5]Weichao Mao, Tamer Basar:
Provably Efficient Reinforcement Learning in Decentralized General-Sum Markov Games. CoRR abs/2110.05682 (2021) - [i4]Weichao Mao, Tamer Basar, Lin F. Yang, Kaiqing Zhang:
Decentralized Cooperative Multi-Agent Reinforcement Learning with Exploration. CoRR abs/2110.05707 (2021) - 2020
- [c7]Weichao Mao, Kaiqing Zhang, Erik Miehling, Tamer Basar:
Information State Embedding in Partially Observable Cooperative Multi-Agent Reinforcement Learning. CDC 2020: 6124-6131 - [c6]Weichao Mao, Kaiqing Zhang, Qiaomin Xie, Tamer Basar:
POLY-HOOT: Monte-Carlo Planning in Continuous Space MDPs with Non-Asymptotic Analysis. NeurIPS 2020 - [i3]Weichao Mao, Kaiqing Zhang, Erik Miehling, Tamer Basar:
Information State Embedding in Partially Observable Cooperative Multi-Agent Reinforcement Learning. CoRR abs/2004.01098 (2020) - [i2]Weichao Mao, Kaiqing Zhang, Qiaomin Xie, Tamer Basar:
POLY-HOOT: Monte-Carlo Planning in Continuous Space MDPs with Non-Asymptotic Analysis. CoRR abs/2006.04672 (2020) - [i1]Weichao Mao, Kaiqing Zhang, Ruihao Zhu, David Simchi-Levi, Tamer Basar:
Near-Optimal Regret Bounds for Model-Free RL in Non-Stationary Episodic MDPs. CoRR abs/2010.03161 (2020)
2010 – 2019
- 2019
- [j1]Shiyou Qian
A fast and anti-matchability matching algorithm for content-based publish/subscribe systems. Comput. Networks 149: 213-225 (2019) - [c5]Zhenzhe Zheng, Weichao Mao, Fan Wu, Guihai Chen
Challenges and Opportunities in IoT Data Markets. SocialSens@CPSIoTWeek 2019: 1-2 - [c4]Weichao Mao, Zhenzhe Zheng, Fan Wu:
Pricing for Revenue Maximization in IoT Data Markets: An Information Design Perspective. INFOCOM 2019: 1837-1845 - [c3]Shiyou Qian, Weichao Mao, Jian Cao, Frederic Le Mouel, Minglu Li:
Adjusting Matching Algorithm to Adapt to Workload Fluctuations in Content-based Publish/Subscribe Systems. INFOCOM 2019: 1936-1944 - 2018
- [c2]Weichao Mao, Zhenzhe Zheng, Fan Wu, Guihai Chen
Online Pricing for Revenue Maximization with Unknown Time Discounting Valuations. IJCAI 2018: 440-446 - [c1]Weichao Mao, Jian Cao, Guangtao Xue, Jiadi Yu, Yanmin Zhu, Minglu Li, Wenjuan Li, Shiyou Qian:
Adjusting Matching Algorithm to Adapt to Dynamic Subscriptions in Content-Based Publish/Subscribe Systems. ISPA/IUCC/BDCloud/SocialCom/SustainCom 2018: 369-376
Coauthor Index
aka: Zbigniew Kalbarczyk
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last updated on 2025-04-09 21:22 CEST by the dblp team
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