| Provably efficient reinforcement learning in decentralized general-sum Markov games W Mao, T Başar Dynamic Games and Applications 13 (1), 165-186, 2023 | 85 | 2023 |
| On improving model-free algorithms for decentralized multi-agent reinforcement learning W Mao, L Yang, K Zhang, T Basar International Conference on Machine Learning, 15007-15049, 2022 | 78* | 2022 |
| Near-Optimal Model-Free Reinforcement Learning in Non-Stationary Episodic MDPs W Mao, K Zhang, R Zhu, D Simchi-Levi, T Basar International Conference on Machine Learning, 7447-7458, 2021 | 51* | 2021 |
| Pricing for revenue maximization in IoT data markets: An information design perspective W Mao, Z Zheng, F Wu IEEE INFOCOM 2019-IEEE Conference on Computer Communications, 1837-1845, 2019 | 46 | 2019 |
| {AWARE}: Automate Workload Autoscaling with Reinforcement Learning in Production Cloud Systems H Qiu, W Mao, C Wang, H Franke, A Youssef, ZT Kalbarczyk, T Başar, ... 2023 USENIX Annual Technical Conference (USENIX ATC 23), 387-402, 2023 | 36 | 2023 |
| Reinforcement learning for resource management in multi-tenant serverless platforms H Qiu, W Mao, A Patke, C Wang, H Franke, ZT Kalbarczyk, T Başar, ... Proceedings of the 2nd European Workshop on Machine Learning and Systems, 20-28, 2022 | 27 | 2022 |
| Information State Embedding in Partially Observable Cooperative Multi-Agent Reinforcement Learning W Mao, K Zhang, E Miehling, T Başar 2020 59th IEEE Conference on Decision and Control (CDC), 6124-6131, 2020 | 27 | 2020 |
| POLY-HOOT: Monte-Carlo Planning in Continuous Space MDPs with Non-Asymptotic Analysis W Mao, K Zhang, Q Xie, T Başar Advances in Neural Information Processing Systems 33, 2020 | 25 | 2020 |
| A mean-field game approach to cloud resource management with function approximation W Mao, H Qiu, C Wang, H Franke, Z Kalbarczyk, R Iyer, T Basar Advances in Neural Information Processing Systems 35, 36243-36258, 2022 | 24 | 2022 |
| Efficient Interactive LLM Serving with Proxy Model-based Sequence Length Prediction H Qiu, W Mao, A Patke, S Cui, S Jha, C Wang, H Franke, ZT Kalbarczyk, ... arXiv preprint arXiv:2404.08509, 2024 | 22 | 2024 |
| Model-Free Nonstationary Reinforcement Learning: Near-Optimal Regret and Applications in Multiagent Reinforcement Learning and Inventory Control W Mao, K Zhang, R Zhu, D Simchi-Levi, T Başar Management Science, 2024 | 20* | 2024 |
| SIMPPO: a scalable and incremental online learning framework for serverless resource management H Qiu, W Mao, A Patke, C Wang, H Franke, ZT Kalbarczyk, T Başar, ... Proceedings of the 13th Symposium on Cloud Computing, 306-322, 2022 | 20 | 2022 |
| Adjusting Matching Algorithm to Adapt to Workload Fluctuations in Content-based Publish/Subscribe Systems S Qian, W Mao, J Cao, F Le Mouël, M Li IEEE INFOCOM 2019-IEEE Conference on Computer Communications, 1936-1944, 2019 | 20 | 2019 |
| Online Pricing for Revenue Maximization with Unknown Time Discounting Valuations. W Mao, Z Zheng, F Wu, G Chen IJCAI, 440-446, 2018 | 16 | 2018 |
| Power-aware Deep Learning Model Serving with {μ-Serve} H Qiu, W Mao, A Patke, S Cui, S Jha, C Wang, H Franke, Z Kalbarczyk, ... 2024 USENIX Annual Technical Conference (USENIX ATC 24), 75-93, 2024 | 11 | 2024 |
| A fast and anti-matchability matching algorithm for content-based publish/subscribe systems S Qian, J Cao, W Mao, Y Zhu, J Yu, M Li, J Wang Computer Networks 149, 213-225, 2019 | 10 | 2019 |
| Challenges and Opportunities in IoT Data Markets Z Zheng, W Mao, F Wu, G Chen Proceedings of the Fourth International Workshop on Social Sensing, 1-2, 2019 | 8 | 2019 |
| Controlgym: Large-scale control environments for benchmarking reinforcement learning algorithms X Zhang, W Mao, S Mowlavi, M Benosman, T Başar 6th Annual Learning for Dynamics & Control Conference, 181-196, 2024 | 7* | 2024 |
| Action Dynamics Task Graphs for Learning Plannable Representations of Procedural Tasks W Mao, R Desai, ML Iuzzolino, N Kamra arXiv preprint arXiv:2302.05330, 2023 | 6 | 2023 |
| FLASH: Fast Model Adaptation in ML-Centric Cloud Platforms H Qiu, W Mao, A Patke, S Cui, C Wang, H Franke, Z Kalbarczyk, T Basar, ... Proceedings of Machine Learning and Systems 6, 524-544, 2024 | 5 | 2024 |
Tamer BaşarSwanlund Endowed Chair Emeritus & CAS Professor Emeritus of ECE, University of Illinois在 illinois.edu 的电子邮件经过验证
