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of 52
pro vyhledávání: '"Lin, Jiabin"'
We study how representation learning can improve the learning efficiency of contextual bandit problems. We study the setting where we play T contextual linear bandits with dimension d simultaneously, and these T bandit tasks collectively share a comm
Externí odkaz:
http://arxiv.org/abs/2410.02068
Autor:
Lin, Jiabin, Moothedath, Shana
We present the problem of conservative distributed multi-task learning in stochastic linear contextual bandits with heterogeneous agents. This extends conservative linear bandits to a distributed setting where M agents tackle different but related ta
Externí odkaz:
http://arxiv.org/abs/2401.11563
This paper studies the problem of modifying the input matrix of a structured system to make the system strongly structurally controllable. We focus on the generalized structured systems that rely on zero/nonzero/arbitrary structure, i.e., some entrie
Externí odkaz:
http://arxiv.org/abs/2311.05653
Autor:
Lin, Jiabin, Moothedath, Shana
We study the problem of federated stochastic multi-arm contextual bandits with unknown contexts, in which M agents are faced with different bandits and collaborate to learn. The communication model consists of a central server and the agents share th
Externí odkaz:
http://arxiv.org/abs/2303.17043
Autor:
Lin, Jiabin, Moothedath, Shana
We consider the problem where M agents collaboratively interact with an instance of a stochastic K-armed contextual bandit, where K>>M. The goal of the agents is to simultaneously minimize the cumulative regret over all the agents over a time horizon
Externí odkaz:
http://arxiv.org/abs/2207.14391
Autor:
Lin, Jiabin, Lee, Xian Yeow, Jubery, Talukder, Moothedath, Shana, Sarkar, Soumik, Ganapathysubramanian, Baskar
Many physical systems have underlying safety considerations that require that the strategy deployed ensures the satisfaction of a set of constraints. Further, often we have only partial information on the state of the system. We study the problem of
Externí odkaz:
http://arxiv.org/abs/2203.15629
Autor:
Guo, Kangjun, Zheng, Zhiyuan, Zhong, Wenhua, Li, Zilong, Wang, Guijun, Li, Jiahong, Cao, Yubin, Wang, Yiguang, Lin, Jiabin, Liu, Qiegen, Song, Xianlin
Publikováno v:
In Photoacoustics August 2024 38
Publikováno v:
In Expert Systems With Applications February 2024 236
Akademický článek
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Autor:
Gan, Chenquan1,2 (AUTHOR) gcq2010cqu@163.com, Lin, Jiabin1 (AUTHOR), Huang, Da-Wen3 (AUTHOR) hdawen1@gmail.com, Zhu, Qingyi2 (AUTHOR), Tian, Liang4 (AUTHOR) besttianliang@gmail.com
Publikováno v:
Mathematics (2227-7390). Jul2023, Vol. 11 Issue 14, p3115. 23p.