Rajarshi Das
Rajarshi Das
FatBrain.ai, IBM Research, Los Alamos National Laboratory, Santa Fe Institute, CSU, IIT-KGP
Bestätigte E-Mail-Adresse bei fatbrain.ai
Zitiert von
Zitiert von
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
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
Utility functions in autonomic systems
WE Walsh, G Tesauro, JO Kephart, R Das
International Conference on Autonomic Computing, 2004. Proceedings., 70-77, 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
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
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
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
Genetic reinforcement learning for neurocontrol problems
D Whitley, S Dominic, R Das, CW Anderson
Machine Learning 13 (2-3), 259-284, 1993
Achieving self-management via utility functions
JO Kephart, R Das
IEEE Internet Computing 11 (1), 40-48, 2007
Evolving globally synchronized cellular automata
R Das, JP Crutchfield, M Mitchell, JM Hanson
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
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
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
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
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
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
On the use of hybrid reinforcement learning for autonomic resource allocation
G Tesauro, NK Jong, R Das, MN Bennani
Cluster Computing 10 (3), 287-299, 2007
Managing Power Consumption and Performance of Computing Systems Using Reinforcement Learning.
G Tesauro, R Das, H Chan, JO Kephart, D Levine, FL Rawson III, ...
NIPS 7, 1-8, 2007
Adaptive problem determination and recovery in a computer system
HY Chan, R Das, JO Kephart, A Segal
US Patent 7,194,445, 2007
Genetic reinforcement learning with multilayer neural networks
D Whitley
Proc. of the 4th ICGA, 562-569, 1990
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