Contact
Email :
Office : 360 CSL, 1308 W Main St, Urbana, IL 61801
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Education
University of Illinois at Urbana-Champaign, Urbana, IL
Ph.D. student in Electrical and Computer Engineering, 2019.9 - Present
Shanghai Jiao Tong University, Shanghai, China
B.S. in Computer Science, 2015.9 - 2019.6
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Journal Papers
Model-Free Non-Stationary RL: Near-Optimal Regret and Applications in Multi-Agent RL and Inventory Control
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
Conference Papers
\(\widetilde{O}(T^{-1})\) Convergence to (Coarse) Correlated Equilibria in Full-Information General-Sum Markov Games
Weichao Mao, Haoran Qiu, Chen Wang, Hubertus Franke, Zbigniew T Kalbarczyk, and Tamer Başar
In Proceedings of the 6th Annual Learning for Dynamics & Control Conference (L4DC 2024 Oral)
Controlgym: Large-Scale Control Environments for Benchmarking Reinforcement Learning Algorithms
Xiangyuan Zhang, Weichao Mao, Saviz Mowlavi, Mouhacine Benosman, and Tamer Başar
In Proceedings of the 6th Annual Learning for Dynamics & Control Conference (L4DC 2024)
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)
Workshop Papers
Efficient Interactive LLM Serving with Proxy Model-based Sequence Length Prediction
Haoran Qiu, Weichao Mao, Archit Patke, Shengkun Cui, Saurabh Jha, Chen Wang, Hubertus Franke, Zbigniew T Kalbarczyk, Tamer Başar, and Ravishankar K Iyer
In Proceedings of the 5th International Workshop on Cloud Intelligence / AIOps (AIOps@ASPLOS 2024)
When Green Computing Meets Performance and Resilience SLOs
Haoran Qiu, Weichao Mao, Chen Wang, Saurabh Jha, Hubertus Franke, Chandra Narayanaswami, Zbigniew T Kalbarczyk, Tamer Başar, and Ravishankar K Iyer
In Proceedings of the 54th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN 2024 Distrupt Track)
On the Promise and Challenges of Foundation Models for Learning-based Cloud Systems Management
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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Awards
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
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