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I am a PhD candidate at University of Illinois Urbana–Champaign (UIUC). I am fortunate to be advised by Prof. Tamer Başar at the Coordinated Science Laboratory (CSL). Before joining UIUC, I got my bachelor's degree of Computer Science from Shanghai Jiao Tong University (SJTU). I was advised by Prof. Fan Wu and Prof. Zhenzhe Zheng at Advanced Network Laboratory (ANL). My research interests lie in reinforcement learning, game theory, control, and multi-agent systems. |
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Weichao Mao, Kaiqing Zhang, Ruihao Zhu, David Simchi-Levi, and Tamer Başar Management Science (Accepted), 2023 Provably Efficient Reinforcement Learning in Decentralized General-Sum Markov Games Weichao Mao, and Tamer Başar Dynamic Games and Applications, 13(1):165-186, 2023 Weichao Mao, Haoran Qiu, Chen Wang, Hubertus Franke, Zbigniew T Kalbarczyk, and Tamer Başar In submission FLASH: Fast Model Adaptation in ML-Centric Cloud Platforms Haoran Qiu, Weichao Mao, Archit Patke, Shengkun Cui, Chen Wang, Hubertus Franke, Zbigniew T Kalbarczyk, Tamer Başar, and Ravishankar K Iyer In Proceedings of the 7th Annual Conference on Machine Learning and Systems (MLSys 2024) Multi-Agent Meta-Reinforcement Learning: Sharper Convergence Rates with Task Similarity Weichao Mao, Haoran Qiu, Chen Wang, Hubertus Franke, Zbigniew T Kalbarczyk, Ravishankar K Iyer, and Tamer Başar In Proceedings of the 37th Conference on Neural Information Processing Systems (NeurIPS 2023) AWARE: Automate Workload Autoscaling with Reinforcement Learning in Production Cloud Systems Haoran Qiu, Weichao Mao, Chen Wang, Hubertus Franke, Alaa Youssef, Zbigniew T Kalbarczyk, Tamer Başar, and Ravishankar K Iyer In Proceedings of the 2023 USENIX Annual Technical Conference (USENIX ATC 2023) Decentralized Learning of Finite-Memory Policies in Dec-POMDPs Weichao Mao, Kaiqing Zhang, Zhuoran Yang, and Tamer Başar In Proceedings of the 22nd IFAC World Congress (IFAC WC 2023) A Mean-Field Game Approach to Cloud Resource Management with Function Approximation Weichao Mao, Haoran Qiu, Chen Wang, Hubertus Franke, Zbigniew T Kalbarczyk, Ravishankar K Iyer, and Tamer Başar In Proceedings of the 36th Conference on Neural Information Processing Systems (NeurIPS 2022) SIMPPO: A Scalable and Incremental Online Learning Framework for Serverless Resource Management Haoran Qiu, Weichao Mao, Archit Patke, Chen Wang, Hubertus Franke, Zbigniew T Kalbarczyk, Tamer Başar, and Ravishankar K Iyer In Proceedings of 13th ACM Symposium on Cloud Computing (SoCC 2022) On Improving Model-Free Algorithms for Decentralized Multi-Agent Reinforcement Learning Weichao Mao, Lin F. Yang, Kaiqing Zhang, and Tamer Başar In Proceedings of the 39th International Conference on Machine Learning (ICML 2022) Near-Optimal Model-Free Reinforcement Learning in Non-Stationary Episodic MDPs Weichao Mao, Kaiqing Zhang, Ruihao Zhu, David Simchi-Levi, and Tamer Başar In Proceedings of the 38th International Conference on Machine Learning (ICML 2021) Semiparametric Information State Embedding for Policy Search under Imperfect Information Sujay Bhatt, Weichao Mao, Alec Koppel, and Tamer Başar In Proceedings of the 60th Conference on Decision and Control (CDC 2021) POLY-HOOT: Monte-Carlo Planning in Continuous Space MDPs with Non-Asymptotic Analysis Weichao Mao, Kaiqing Zhang, Qiaomin Xie, and Tamer Başar In Proceedings of the 34th Conference on Neural Information Processing Systems (NeurIPS 2020) Information State Embedding in Partially Observable Cooperative Multi-Agent Reinforcement Learning Weichao Mao, Kaiqing Zhang, Erik Miehling, and Tamer Başar In Proceedings of the 59th Conference on Decision and Control (CDC 2020) Pricing for Revenue Maximization in IoT Data Markets: An Information Design Perspective Weichao Mao, Zhenzhe Zheng, and Fan Wu In Proceedings of the 38th IEEE International Conference on Computer Communications (INFOCOM 2019) Endowing Matching Algorithm with Adaptability in Content-based Publish/Subscribe Systems Shiyou Qian, Weichao Mao, Jian Cao, Frederic Le Mouel, and Minglu Li In Proceedings of the 38th IEEE International Conference on Computer Communications (INFOCOM 2019) Haoran Qiu, Weichao Mao, Chen Wang, Hubertus Franke, Zbigniew T Kalbarczyk, Tamer Başar, and Ravishankar K Iyer In Proceedings of the 7th Workshop on Machine Learning for Systems at NeurIPS (ML4Sys@NeurIPS 2023) Action Dynamics Task Graphs for Learning Plannable Representations of Procedural Tasks Weichao Mao, Ruta Desai, Michael Louis Iuzzolino, and Nitin Kamra In AAAI Workshop on User-Centric Artificial Intelligence for Assistance in At-Home Tasks (AI4AtHome 2023) Reinforcement Learning for Resource Management in Multi-tenant Serverless Platforms Haoran Qiu, Weichao Mao, Archit Patke, Chen Wang, Hubertus Franke, Zbigniew T Kalbarczyk, Tamer Başar, and Ravishankar K Iyer In Proceedings of the 2nd European Workshop on Machine Learning and Systems (EuroMLSys 2022) |
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Teaching Assistant for ECE 561: Statistical Inference for Engineers and Data Scientists (Spring 2023), UIUC Teaching Assistant for CS 499: Mathematical Foundations of Computer Science (Spring 2018), SJTU |
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Shun Lien Chuang Memorial Award, UIUC, 2023 Robert T. Chien Memorial Award, UIUC, 2022 Excellent Bachelor Thesis Award (top 1%), SJTU, 2019 Excellent Graduate Award, SJTU, 2019 |