Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Weichao Mao"'
Autor:
Haoran Qiu, Weichao Mao, Archit Patke, Chen Wang, Hubertus Franke, Zbigniew T. Kalbarczyk, Tamer Başar, Ravishankar K. Iyer
Publikováno v:
Proceedings of the 13th Symposium on Cloud Computing.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6890d606d04bffcc63c909158452990f
https://doi.org/10.1145/3542929.3563475
https://doi.org/10.1145/3542929.3563475
Autor:
Haoran Qiu, Weichao Mao, Archit Patke, Chen Wang, Hubertus Franke, Zbigniew T. Kalbarczyk, Tamer Başar, Ravishankar K. Iyer
Publikováno v:
Proceedings of the 2nd European Workshop on Machine Learning and Systems.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a432272d53e7149924907973e7f6a61
https://doi.org/10.1145/3517207.3526971
https://doi.org/10.1145/3517207.3526971
Publikováno v:
2021 60th IEEE Conference on Decision and Control (CDC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::39a68b52c5dd174e80dc0433eeeb0e2c
https://doi.org/10.1109/cdc45484.2021.9682964
https://doi.org/10.1109/cdc45484.2021.9682964
Autor:
Weichao Mao, Tamer Başar
This paper addresses the problem of learning an equilibrium efficiently in general-sum Markov games through decentralized multi-agent reinforcement learning. Given the fundamental difficulty of calculating a Nash equilibrium (NE), we instead aim at f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ed27d77438df2dfd9bf136033ac71801
http://arxiv.org/abs/2110.05682
http://arxiv.org/abs/2110.05682
Publikováno v:
Computer Networks. 149:213-225
The content-based publish/subscribe system is a flexible many-to-many communication middleware that meets the demands of many large-scale distributed applications. It is well known that event matching is a fundamental component of the content-based p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6bff0cf15c9f41ae2a2e3e91e396ac99
https://doi.org/10.1016/j.comnet.2018.12.001
https://doi.org/10.1016/j.comnet.2018.12.001
Publikováno v:
CDC
Multi-agent reinforcement learning (MARL) under partial observability has long been considered challenging, primarily due to the requirement for each agent to maintain a belief over all other agents' local histories -- a domain that generally grows e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a321e06e753cfc4e945b9c0b7250670f
Publikováno v:
SocialSens@CPSIoTWeek
Tremendous amount of Internet of Things (IoT) data is seamlessly generated and collected by ubiquitous sensors to facilitate critical decision making in various scenarios. However, due to the lack of open and effective data sharing and trading platfo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f5a48b34dcf2d8f883e726e038fb1af2
https://doi.org/10.1145/3313294.3313378
https://doi.org/10.1145/3313294.3313378
Publikováno v:
INFOCOM
INFOCOM 2019-IEEE International Conference on Computer Communications
INFOCOM 2019-IEEE International Conference on Computer Communications, Apr 2019, Paris, France. pp.1-9, ⟨10.1109/BDCloud.2018.00064⟩
INFOCOM 2019-IEEE International Conference on Computer Communications
INFOCOM 2019-IEEE International Conference on Computer Communications, Apr 2019, Paris, France. pp.1-9, ⟨10.1109/BDCloud.2018.00064⟩
International audience; When facing fluctuating workloads, can the performance of matching algorithms in a content-based publish/subscribe system be adjusted to adapt to the workloads? In this paper, we explore the idea of endowing matching algorithm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8c9e743c4c9ced66b228f9f137bb82d0
https://doi.org/10.1109/infocom.2019.8737647
https://doi.org/10.1109/infocom.2019.8737647
Publikováno v:
INFOCOM
Data is becoming an important kind of commercial good, and many online data marketplaces are set up to facilitate the trading of data. However, most existing data market models and the corresponding pricing mechanisms are simple, and fail to capture
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3a84988c381ccba242c7bf4f1e36756f
https://doi.org/10.1109/infocom.2019.8737571
https://doi.org/10.1109/infocom.2019.8737571
Autor:
Weichao Mao, Jiadi Yu, Cao Jian, Yanmin Zhu, Minglu Li, Wenjuan Li, Qian Shiyou, Guangtao Xue
Publikováno v:
ISPA/IUCC/BDCloud/SocialCom/SustainCom
Content-based publish/subscribe systems enable on-demand event distribution based on users' interests. In dynamic environments, such as social networks and stock exchanges, the subscriptions that express users' interests update frequently, which chan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bd990f3661b19e6e88a71b308fd2d62b
https://doi.org/10.1109/bdcloud.2018.00064
https://doi.org/10.1109/bdcloud.2018.00064