Bhargav Ganguly 个人学术档案

引用次数

	总计	2019 年至今
引用	41	41
h 指数	4	4
i10 指数	2	2

20212022202320243 6 14 18

开放获取的出版物数量

查看全部

2 篇文章

0 篇文章

可查看的文章

无法查看的文章

根据资助方的强制性开放获取政策

合著作者

Vaneet AggarwalPurdue University在 purdue.edu 的电子邮件经过验证
Mridul AgarwalAmazon在 purdue.edu 的电子邮件经过验证
Alec KoppelAI Research Lead, JP Morgan AI Research在 jpmchase.com 的电子邮件经过验证
Amrit Singh BediAssistant Professor in Department of Computer Science, University of Central Florida, FL, USA在 ucf.edu 的电子邮件经过验证
Seyyedali Hosseinalipour (Ali Alipour)Assistant Professor of Electrical Engineering, University at Buffalo, SUNY在 buffalo.edu 的电子邮件经过验证
Christopher G. BrintonElmore Rising Star Associate Professor of ECE, Purdue University在 purdue.edu 的电子邮件经过验证
David J. LoveNick Trbovich Professor of ECE, Purdue University在 ecn.purdue.edu 的电子邮件经过验证
Mung ChiangPurdue University在 purdue.edu 的电子邮件经过验证
Yulian WuKing Abdullah University of Science and Technology在 kaust.edu.sa 的电子邮件经过验证
Di WangKing Abdullah University of Science and Technology在 kaust.edu.sa 的电子邮件经过验证
Vincent G. DuffyProfessor of Industrial Engineering, Purdue University在 purdue.edu 的电子邮件经过验证
Sameeran KanadePhD Candidate, Purdue University在 purdue.edu 的电子邮件经过验证

关注

Bhargav Ganguly

PhD Student, Purdue University

在 purdue.edu 的电子邮件经过验证

Machine Learning Reinforcement Learning Federated Learning


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Communication efficient parallel reinforcement learning M Agarwal, B Ganguly, V Aggarwal Uncertainty in Artificial Intelligence, 247-256, 2021	13	2021
Multi-edge server-assisted dynamic federated learning with an optimized floating aggregation point B Ganguly, S Hosseinalipour, KT Kim, CG Brinton, V Aggarwal, DJ Love, ... IEEE/ACM Transactions on Networking 31 (6), 2682-2697, 2023	12	2023
Deep generative models for offline policy learning: Tutorial, survey, and perspectives on future directions J Chen, B Ganguly, Y Xu, Y Mei, T Lan, V Aggarwal arXiv preprint arXiv:2402.13777, 2024	4	2024
Convergence rates of average-reward multi-agent reinforcement learning via randomized linear programming A Koppel, AS Bedi, B Ganguly, V Aggarwal 2022 IEEE 61st Conference on Decision and Control (CDC), 4545-4552, 2022	4	2022
Online Federated Learning via Non-Stationary Detection and Adaptation Amidst Concept Drift B Ganguly, V Aggarwal IEEE/ACM Transactions on Networking, 2023	3	2023
Quantum computing provides exponential regret improvement in episodic reinforcement learning B Ganguly, Y Wu, D Wang, V Aggarwal arXiv preprint arXiv:2302.08617, 2023	3	2023
Impact of AI on Mobile Computing: A Systematic Review from a Human Factors Perspective J Chen, B Ganguly, SG Kanade, VG Duffy International Conference on Human-Computer Interaction, 24-38, 2023	1	2023
Randomized Linear Programming for Tabular Average-Cost Multi-agent Reinforcement Learning A Koppel, AS Bedi, B Ganguly, V Aggarwal 2021 55th Asilomar Conference on Signals, Systems, and Computers, 1023-1026, 2021	1	2021
Variational Offline Multi-agent Skill Discovery J Chen, B Ganguly, T Lan, V Aggarwal arXiv preprint arXiv:2405.16386, 2024		2024
Quantum Acceleration of Infinite Horizon Average-Reward Reinforcement Learning B Ganguly, V Aggarwal arXiv preprint arXiv:2310.11684, 2023		2023

系统目前无法执行此操作，请稍后再试。

文章 1–10

每年引用数

重复的引用

合并的引用

添加合著者合著作者

上传 PDF

关注此作者

引用次数

合著作者

引用