Weichao Mao - RankMe

37 papers A* 9C 1Journal 15Unranked 12

Year	Rank	Type	Title / Venue / Authors
2025	C	`conf`	Decision Transformer as a Foundation Model for Partially Observable Continuous Control. ACC Xiangyuan Zhang, Weichao Mao, Haoran Qiu, Tamer Basar
2025	J	`jnl`	Model-Free Nonstationary Reinforcement Learning: Near-Optimal Regret and Applications in Multiagent Reinforcement Learning and Inventory Control. Manag. Sci. Weichao Mao, Kaiqing Zhang, Ruihao Zhu, David Simchi-Levi, Tamer Basar
2025	A*	`conf`	Teaching Language Models to Critique via Reinforcement Learning. ICML Zhihui Xie, Jie Chen, Liyu Chen, Weichao Mao, Jingjing Xu, Lingpeng Kong
2025	J	`jnl`	Teaching Language Models to Critique via Reinforcement Learning. CoRR Zhihui Xie, Jie Chen, Liyu Chen, Weichao Mao, Jingjing Xu, Lingpeng Kong
2024	—	`conf`	$\widetilde{O}(T^{-1})$ {C}onvergence to (coarse) correlated equilibria in full-information general-sum markov games. L4DC Weichao Mao, Haoran Qiu, Chen Wang, Hubertus Franke, Zbigniew Kalbarczyk, Tamer Basar
2024	—	`conf`	Controlgym: Large-scale control environments for benchmarking reinforcement learning algorithms. L4DC Xiangyuan Zhang, Weichao Mao, Saviz Mowlavi, Mouhacine Benosman, Tamer Basar
2024	J	`jnl`	Decision Transformer as a Foundation Model for Partially Observable Continuous Control. CoRR Xiangyuan Zhang, Weichao Mao, Haoran Qiu, Tamer Basar
2024	J	`jnl`	Efficient Interactive LLM Serving with Proxy Model-based Sequence Length Prediction. CoRR Haoran Qiu, Weichao Mao, Archit Patke, Shengkun Cui, Saurabh Jha, Chen Wang, Hubertus Franke, Zbigniew T. Kalbarczyk, Tamer Basar, Ravishankar K. Iyer
2024	—	`conf`	FLASH: Fast Model Adaptation in ML-Centric Cloud Platforms. MLSys Haoran Qiu, Weichao Mao, Archit Patke, Shengkun Cui, Chen Wang, Hubertus Franke, Zbigniew Kalbarczyk, Tamer Basar, Ravi K. Iyer
2024	J	`jnl`	On Designing Market Model and Pricing Mechanisms for IoT Data Exchange. IEEE Trans. Mob. Comput. Zhenzhe Zheng, Weichao Mao, Yidan Xing, Fan Wu
2024	—	`conf`	Power-aware Deep Learning Model Serving with μ-Serve. USENIX ATC Haoran Qiu, Weichao Mao, Archit Patke, Shengkun Cui, Saurabh Jha, Chen Wang, Hubertus Franke, Zbigniew Kalbarczyk, Tamer Basar, Ravishankar K. Iyer
2024	—	`conf`	When Green Computing Meets Performance and Resilience SLOs. DSN-S Haoran Qiu, Weichao Mao, Chen Wang, Saurabh Jha, Hubertus Franke, Chandra Narayanaswami, Zbigniew Kalbarczyk, Tamer Basar, Ravishankar K. Iyer
2024	J	`jnl`	Õ(T CoRR Weichao Mao, Haoran Qiu, Chen Wang, Hubertus Franke, Zbigniew Kalbarczyk, Tamer Basar
2023	—	`conf`	AWARE: Automate Workload Autoscaling with Reinforcement Learning in Production Cloud Systems. USENIX ATC Haoran Qiu, Weichao Mao, Chen Wang, Hubertus Franke, Alaa Youssef, Zbigniew T. Kalbarczyk, Tamer Basar, Ravishankar K. Iyer
2023	J	`jnl`	Action Dynamics Task Graphs for Learning Plannable Representations of Procedural Tasks. CoRR Weichao Mao, Ruta Desai, Michael Louis Iuzzolino, Nitin Kamra
2023	J	`jnl`	Controlgym: Large-Scale Safety-Critical Control Environments for Benchmarking Reinforcement Learning Algorithms. CoRR Xiangyuan Zhang, Weichao Mao, Saviz Mowlavi, Mouhacine Benosman, Tamer Basar
2023	A*	`conf`	Multi-Agent Meta-Reinforcement Learning: Sharper Convergence Rates with Task Similarity. NeurIPS Weichao Mao, Haoran Qiu, Chen Wang, Hubertus Franke, Zbigniew Kalbarczyk, Ravishankar K. Iyer, Tamer Basar
2023	J	`jnl`	Provably Efficient Reinforcement Learning in Decentralized General-Sum Markov Games. Dyn. Games Appl. Weichao Mao, Tamer Basar
2022	A*	`conf`	A Mean-Field Game Approach to Cloud Resource Management with Function Approximation. NeurIPS Weichao Mao, Haoran Qiu, Chen Wang, Hubertus Franke, Zbigniew Kalbarczyk, Ravishankar K. Iyer, Tamer Basar
2022	A*	`conf`	On Improving Model-Free Algorithms for Decentralized Multi-Agent Reinforcement Learning. ICML Weichao Mao, Lin Yang, Kaiqing Zhang, Tamer Basar
2022	—	`conf`	Reinforcement learning for resource management in multi-tenant serverless platforms. EuroMLSys@EuroSys Haoran Qiu, Weichao Mao, Archit Patke, Chen Wang, Hubertus Franke, Zbigniew T. Kalbarczyk, Tamer Basar, Ravishankar K. Iyer
2022	—	`conf`	SIMPPO: a scalable and incremental online learning framework for serverless resource management. SoCC Haoran Qiu, Weichao Mao, Archit Patke, Chen Wang, Hubertus Franke, Zbigniew T. Kalbarczyk, Tamer Basar, Ravishankar K. Iyer
2021	J	`jnl`	Decentralized Cooperative Multi-Agent Reinforcement Learning with Exploration. CoRR Weichao Mao, Tamer Basar, Lin F. Yang, Kaiqing Zhang
2021	A*	`conf`	Near-Optimal Model-Free Reinforcement Learning in Non-Stationary Episodic MDPs. ICML Weichao Mao, Kaiqing Zhang, Ruihao Zhu, David Simchi-Levi, Tamer Basar
2021	J	`jnl`	Provably Efficient Reinforcement Learning in Decentralized General-Sum Markov Games. CoRR Weichao Mao, Tamer Basar
2021	—	`conf`	Semiparametric Information State Embedding for Policy Search under Imperfect Information. CDC Sujay Bhatt, Weichao Mao, Alec Koppel, Tamer Basar
2020	—	`conf`	Information State Embedding in Partially Observable Cooperative Multi-Agent Reinforcement Learning. CDC Weichao Mao, Kaiqing Zhang, Erik Miehling, Tamer Basar
2020	J	`jnl`	Information State Embedding in Partially Observable Cooperative Multi-Agent Reinforcement Learning. CoRR Weichao Mao, Kaiqing Zhang, Erik Miehling, Tamer Basar
2020	J	`jnl`	Near-Optimal Regret Bounds for Model-Free RL in Non-Stationary Episodic MDPs. CoRR Weichao Mao, Kaiqing Zhang, Ruihao Zhu, David Simchi-Levi, Tamer Basar
2020	A*	`conf`	POLY-HOOT: Monte-Carlo Planning in Continuous Space MDPs with Non-Asymptotic Analysis. NeurIPS Weichao Mao, Kaiqing Zhang, Qiaomin Xie, Tamer Basar
2020	J	`jnl`	POLY-HOOT: Monte-Carlo Planning in Continuous Space MDPs with Non-Asymptotic Analysis. CoRR Weichao Mao, Kaiqing Zhang, Qiaomin Xie, Tamer Basar
2019	J	`jnl`	A fast and anti-matchability matching algorithm for content-based publish/subscribe systems. Comput. Networks Shiyou Qian, Jian Cao, Weichao Mao, Yanmin Zhu, Jiadi Yu, Minglu Li, Jie Wang
2019	A*	`conf`	Adjusting Matching Algorithm to Adapt to Workload Fluctuations in Content-based Publish/Subscribe Systems. INFOCOM Shiyou Qian, Weichao Mao, Jian Cao, Frederic Le Mouel, Minglu Li
2019	—	`conf`	Challenges and Opportunities in IoT Data Markets. SocialSens@CPSIoTWeek Zhenzhe Zheng, Weichao Mao, Fan Wu, Guihai Chen
2019	A*	`conf`	Pricing for Revenue Maximization in IoT Data Markets: An Information Design Perspective. INFOCOM Weichao Mao, Zhenzhe Zheng, Fan Wu
2018	—	`conf`	Adjusting Matching Algorithm to Adapt to Dynamic Subscriptions in Content-Based Publish/Subscribe Systems. ISPA/IUCC/BDCloud/SocialCom/SustainCom Weichao Mao, Jian Cao, Guangtao Xue, Jiadi Yu, Yanmin Zhu, Minglu Li, Wenjuan Li, Shiyou Qian
2018	A*	`conf`	Online Pricing for Revenue Maximization with Unknown Time Discounting Valuations. IJCAI Weichao Mao, Zhenzhe Zheng, Fan Wu, Guihai Chen