Weichao Mao

ScholarGPS® ID: 88778730062767

Affiliation

University of Illinois at Urbana-Champaign, Urbana and Champaign, United States

Affiliation History

Field

Engineering and Computer Science

Discipline

Electrical and Computer Engineering

Top Specialties

Reinforcement Learning

Metrics Summary

Publication Count

Predicted Citations

Predicted h-index

Ranking

Publications and Citation History

Publications based on Top Specialties

Types of Publication

Publications
Books
Patents
NIH/NSF

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Model-Free Nonstationary Reinforcement Learning: Near-Optimal Regret and Applications in Multiagent Reinforcement Learning and Inventory Control (journal article) Mao, Weichao \| Zhang, Kaiqing \| Zhu, Ruihao \| Simchi-Levi, David \| Başar, Tamer Management Science (2024). 10.1287/mnsc.2022.02533 Cite \| Source
On Designing Market Model and Pricing Mechanisms for IoT Data Exchange (journal article) Zheng, Zhenzhe \| Mao, Weichao \| Xing, Yidan \| Wu, Fan IEEE Transactions on Mobile Computing (2024). 10.1109/TMC.2024.3373811 Cite \| Source
Decentralized Learning of Finite-Memory Policies in Dec-POMDPs (journal article) Mao, Weichao \| Zhang, Kaiqing \| Yang, Zhuoran \| Başar, Tamer IFAC-PapersOnLine, volume 56, issue 2, pages 2601-2607 (2023). 10.1016/j.ifacol.2023.10.1346 Cite \| Source
SIMPPO (conference) Qiu, Haoran \| Mao, Weichao \| Patke, Archit \| Wang, Chen \| Franke, Hubertus \| Kalbarczyk, Zbigniew T. \| Başar, Tamer \| Iyer, Ravishankar K. SoCC '22: ACM Symposium on Cloud Computing (2022) San Francisco California 10.1145/3542929.3563475 Cited by (2) \| Cite \| Source
Provably Efficient Reinforcement Learning in Decentralized General-Sum Markov Games (journal article) Mao, Weichao \| Başar, Tamer Dynamic Games and Applications (2022). 10.1007/s13235-021-00420-0 Cited by (5) \| Cite \| Source
Semiparametric Information State Embedding for Policy Search under Imperfect Information (conference) Bhatt, Sujay \| Mao, Weichao \| Koppel, Alec \| Basar, Tamer 2021 60th IEEE Conference on Decision and Control (CDC) (2021) Austin, TX, USA 10.1109/CDC45484.2021.9682964 Cited by (2) \| Cite \| Source
Information State Embedding in Partially Observable Cooperative Multi-Agent Reinforcement Learning (conference) Mao, Weichao \| Zhang, Kaiqing \| Miehling, Erik \| Basar, Tamer 2020 59th IEEE Conference on Decision and Control (CDC) (2020) Jeju, Korea (South) 10.1109/CDC42340.2020.9303801 Cited by (9) \| Cite \| Source