Weichao Mao

According to our database, Weichao Mao authored at least 30 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

On Designing Market Model and Pricing Mechanisms for IoT Data Exchange.

Zhenzhe Zheng, Weichao Mao, Yidan Xing, Fan Wu

IEEE Trans. Mob. Comput., November, 2024

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 Basar, Ravishankar K. Iyer

CoRR, 2024

Decision Transformer as a Foundation Model for Partially Observable Continuous Control.

Xiangyuan Zhang, Weichao Mao, Haoran Qiu, Tamer Basar

CoRR, 2024

Õ(T^-1) Convergence to (Coarse) Correlated Equilibria in Full-Information General-Sum Markov Games.

Weichao Mao, Haoran Qiu, Chen Wang, Hubertus Franke, Zbigniew Kalbarczyk, Tamer Basar

CoRR, 2024

Power-aware Deep Learning Model Serving with μ-Serve.

Haoran Qiu, Weichao Mao, Archit Patke, Shengkun Cui, Saurabh Jha, Chen Wang, Hubertus Franke, Zbigniew Kalbarczyk, Tamer Basar, Ravishankar K. Iyer

Proceedings of the 2024 USENIX Annual Technical Conference, 2024

FLASH: Fast Model Adaptation in ML-Centric Cloud Platforms.

Haoran Qiu, Weichao Mao, Archit Patke, Shengkun Cui, Chen Wang, Hubertus Franke, Zbigniew Kalbarczyk, Tamer Basar, Ravi K. Iyer

Proceedings of the Seventh Annual Conference on Machine Learning and Systems, 2024

Controlgym: Large-scale control environments for benchmarking reinforcement learning algorithms.

Xiangyuan Zhang, Weichao Mao, Saviz Mowlavi, Mouhacine Benosman, Tamer Basar

Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

$\widetilde{O}(T^{-1})$ {C}onvergence to (coarse) correlated equilibria in full-information general-sum markov games.

Weichao Mao, Haoran Qiu, Chen Wang, Hubertus Franke, Zbigniew Kalbarczyk, Tamer Basar

Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

When Green Computing Meets Performance and Resilience SLOs.

Haoran Qiu, Weichao Mao, Chen Wang, Saurabh Jha, Hubertus Franke, Chandra Narayanaswami, Zbigniew Kalbarczyk, Tamer Basar, Ravishankar K. Iyer

Proceedings of the 54th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2024

2023

Provably Efficient Reinforcement Learning in Decentralized General-Sum Markov Games.

Weichao Mao, Tamer Basar

Dyn. Games Appl., March, 2023

Controlgym: Large-Scale Safety-Critical Control Environments for Benchmarking Reinforcement Learning Algorithms.

Xiangyuan Zhang, Weichao Mao, Saviz Mowlavi, Mouhacine Benosman, Tamer Basar

CoRR, 2023

Action Dynamics Task Graphs for Learning Plannable Representations of Procedural Tasks.

Weichao Mao, Ruta Desai, Michael Louis Iuzzolino, Nitin Kamra

CoRR, 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 Basar, Ravishankar K. Iyer

Proceedings of the 2023 USENIX Annual Technical Conference, 2023

Multi-Agent Meta-Reinforcement Learning: Sharper Convergence Rates with Task Similarity.

Weichao Mao, Haoran Qiu, Chen Wang, Hubertus Franke, Zbigniew Kalbarczyk, Ravishankar K. Iyer, Tamer Basar

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

A Mean-Field Game Approach to Cloud Resource Management with Function Approximation.

Weichao Mao, Haoran Qiu, Chen Wang, Hubertus Franke, Zbigniew Kalbarczyk, Ravishankar K. Iyer, Tamer Basar

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

On Improving Model-Free Algorithms for Decentralized Multi-Agent Reinforcement Learning.

Weichao Mao, Lin Yang, Kaiqing Zhang, Tamer Basar

Proceedings of the International Conference on Machine Learning, 2022

Reinforcement learning for resource management in multi-tenant serverless platforms.

Haoran Qiu, Weichao Mao, Archit Patke, Chen Wang, Hubertus Franke, Zbigniew T. Kalbarczyk, Tamer Basar, Ravishankar K. Iyer

Proceedings of the EuroMLSys '22: Proceedings of the 2nd European Workshop on Machine Learning and Systems, Rennes, France, April 5, 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 Basar, Ravishankar K. Iyer

Proceedings of the 13th Symposium on Cloud Computing, SoCC 2022, 2022

2021

Decentralized Cooperative Multi-Agent Reinforcement Learning with Exploration.

Weichao Mao, Tamer Basar, Lin F. Yang, Kaiqing Zhang

CoRR, 2021

Near-Optimal Model-Free Reinforcement Learning in Non-Stationary Episodic MDPs.

Weichao Mao, Kaiqing Zhang, Ruihao Zhu, David Simchi-Levi, Tamer Basar

Proceedings of the 38th International Conference on Machine Learning, 2021

Semiparametric Information State Embedding for Policy Search under Imperfect Information.

Sujay Bhatt, Weichao Mao, Alec Koppel, Tamer Basar

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

Near-Optimal Regret Bounds for Model-Free RL in Non-Stationary Episodic MDPs.

Weichao Mao, Kaiqing Zhang, Ruihao Zhu, David Simchi-Levi, Tamer Basar

CoRR, 2020

POLY-HOOT: Monte-Carlo Planning in Continuous Space MDPs with Non-Asymptotic Analysis.

Weichao Mao, Kaiqing Zhang, Qiaomin Xie, Tamer Basar

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Information State Embedding in Partially Observable Cooperative Multi-Agent Reinforcement Learning.

Weichao Mao, Kaiqing Zhang, Erik Miehling, Tamer Basar

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019

A fast and anti-matchability matching algorithm for content-based publish/subscribe systems.

Shiyou Qian, Jian Cao, Weichao Mao, Yanmin Zhu, Jiadi Yu, Minglu Li, Jie Wang

Comput. Networks, 2019

Adjusting Matching Algorithm to Adapt to Workload Fluctuations in Content-based Publish/Subscribe Systems.

Shiyou Qian, Weichao Mao, Jian Cao, Frederic Le Mouel, Minglu Li

Proceedings of the 2019 IEEE Conference on Computer Communications, 2019

Pricing for Revenue Maximization in IoT Data Markets: An Information Design Perspective.

Weichao Mao, Zhenzhe Zheng, Fan Wu

Proceedings of the 2019 IEEE Conference on Computer Communications, 2019

Challenges and Opportunities in IoT Data Markets.

Zhenzhe Zheng, Weichao Mao, Fan Wu, Guihai Chen

Proceedings of the Fourth International Workshop on Social Sensing, 2019

2018

Adjusting Matching Algorithm to Adapt to Dynamic Subscriptions in Content-Based Publish/Subscribe Systems.

Weichao Mao, Jian Cao, Guangtao Xue, Jiadi Yu, Yanmin Zhu, Minglu Li, Wenjuan Li, Shiyou Qian

Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2018

Online Pricing for Revenue Maximization with Unknown Time Discounting Valuations.

Weichao Mao, Zhenzhe Zheng, Fan Wu, Guihai Chen

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018