Rajarshi Das 个人学术档案 - 学术资源搜索

引用次数

	总计	2019 年至今
引用	9693	1653
h 指数	43	22
i10 指数	70	35

580

290

145

435

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合著作者

Jeff KephartDistinguished Research Staff Member, IBM Research在 us.ibm.com 的电子邮件经过验证
James E. Hanson在 jehanson.org 的电子邮件经过验证
James CrutchfieldDistinguished Professor of Physics, University of California at Davis在 ucdavis.edu 的电子邮件经过验证
Charles LefurgyIBM在 us.ibm.com 的电子邮件经过验证
L. Darrell WhitleyProfessor of Computer Science, Colorado State University在 cs.colostate.edu 的电子邮件经过验证
Canturk IsciMeta, Bloomberg CTO Office, IBM Research, VMware在 alumni.princeton.edu 的电子邮件经过验证
Anshul GandhiStony Brook University在 cs.stonybrook.edu 的电子邮件经过验证
Mor Harchol-BalterBruce J. Nelson Professor of Computer Science, Carnegie Mellon University在 cs.cmu.edu 的电子邮件经过验证
Jeffrey K. MacKie-MasonUniversity Librarian, UC Berkeley; Professor of Information Science; Professor of Economics在 berkeley.edu 的电子邮件经过验证
Robert FarrellIBM (retired)在 us.ibm.com 的电子邮件经过验证
J. David Schafferbinghamton university在 binghamton.edu 的电子邮件经过验证
Craig BoutilierPrincipal Scientist, Google在 google.com 的电子邮件经过验证
Charles Andersonprofessor of computer science, Colorado State University. Founder Pattern Exploration, LLC.在 colostate.edu 的电子邮件经过验证
Maja VukovicIBM T.J. Watson Research Center在 us.ibm.com 的电子邮件经过验证
David C. ParkesGeorge F. Colony Professor of Computer Science, Harvard University在 eecs.harvard.edu 的电子邮件经过验证
Nitendra RajputMastercard在 acm.org 的电子邮件经过验证
Scott FayProfessor of Marketing, Syracuse University在 syr.edu 的电子邮件经过验证
Soundar KumaraAllen, E & Allen, M., Pearce Professor of Industrial Engeering, Professor of Computer Science and在 psu.edu 的电子邮件经过验证
Mike SpreitzerIBM在 acm.org 的电子邮件经过验证
Asser N. TantawiResearch Staff Member, IBM TJ Watson Research Center在 us.ibm.com 的电子邮件经过验证

关注

Rajarshi Das

FatBrain.io, IBM Lab, Los Alamos Lab, Santa Fe Institute, Persistent.com,

在 emergentq.ai 的电子邮件经过验证

Gen AI Cognitive AI Reinforcement 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
A study of control parameters affecting online performance of genetic algorithms for function optimization JD Schaffer, R Caruana, LJ Eshelman, R Das Proceedings of the 3rd international conference on genetic algorithms, 51-60, 1989	1527	1989
Optimal power allocation in server farms A Gandhi, M Harchol-Balter, R Das, C Lefurgy ACM SIGMETRICS Performance Evaluation Review 37 (1), 157-168, 2009	648	2009
Utility functions in autonomic systems WE Walsh, G Tesauro, JO Kephart, R Das International Conference on Autonomic Computing, 2004. Proceedings., 70-77, 2004	619	2004
A hybrid reinforcement learning approach to autonomic resource allocation G Tesauro, NK Jong, R Das, MN Bennani 2006 IEEE International Conference on Autonomic Computing, 65-73, 2006	486	2006
Agent-human interactions in the continuous double auction R Das, JE Hanson, JO Kephart, G Tesauro International joint conference on artificial intelligence 17 (1), 1169-1178, 2001	380	2001
A multi-agent systems approach to autonomic computing G Tesauro, DM Chess, WE Walsh, R Das, A Segal, I Whalley, JO Kephart, ... Proceedings of the Third International Joint Conference on Autonomous Agents …, 2004	364	2004
Evolving cellular automata with genetic algorithms: A review of recent work M Mitchell, JP Crutchfield, R Das Proceedings of the First international conference on evolutionary …, 1996	323	1996
Genetic reinforcement learning for neurocontrol problems D Whitley, S Dominic, R Das, CW Anderson Machine Learning 13, 259-284, 1993	320	1993
Achieving self-management via utility functions JO Kephart, R Das IEEE Internet Computing 11 (1), 40-48, 2007	276	2007
Evolving globally synchronized cellular automata R Das, JP Crutchfield, M Mitchell, JM Hanson	248	1995
A genetic algorithm discovers particle-based computation in cellular automata R Das, M Mitchell, JP Crutchfield International conference on parallel problem solving from nature, 344-353, 1994	238	1994
Method and apparatus for automatic updating and testing of software R Das, ER Lassettre, A Segal, IN Whalley, SR White US Patent 7,216,343, 2007	232	2007
Analyzing complex strategic interactions in multi-agent systems WE Walsh, R Das, G Tesauro, JO Kephart AAAI-02 Workshop on Game-Theoretic and Decision-Theoretic Agents, 109-118, 2002	226	2002
Coordinating multiple autonomic managers to achieve specified power-performance tradeoffs JO Kephart, H Chan, R Das, DW Levine, G Tesauro, F Rawson, C Lefurgy Fourth International Conference on Autonomic Computing (ICAC'07), 24-24, 2007	201	2007
High-performance bidding agents for the continuous double auction G Tesauro, R Das Proceedings of the 3rd ACM Conference on Electronic Commerce, 206-209, 2001	198	2001
Managing power consumption and performance of computing systems using reinforcement learning G Tesauro, R Das, H Chan, J Kephart, D Levine, F Rawson, C Lefurgy Advances in neural information processing systems 20, 2007	176	2007
Autonomic multi-agent management of power and performance in data centers R Das, JO Kephart, C Lefurgy, G Tesauro, DW Levine, H Chan Proceedings of the 7th international joint conference on Autonomous agents …, 2008	170	2008
Determining availability of a destination for computer network communications DN Banerjee, R Das, KP Pancholi, V Venkatsubra US Patent 7,440,453, 2008	160	2008
On the use of hybrid reinforcement learning for autonomic resource allocation G Tesauro, NK Jong, R Das, MN Bennani Cluster Computing 10, 287-299, 2007	158	2007
Adaptive problem determination and recovery in a computer system US Patent 20,040,059,966, 0	153*

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