David Vengerov

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7EEDavid Vengerov: A gradient-based reinforcement learning approach to dynamic pricing in partially-observable environments. Future Generation Comp. Syst. 24(7): 687-693 (2008)
6EEDavid Vengerov: A reinforcement learning framework for online data migration in hierarchical storage systems. The Journal of Supercomputing 43(1): 1-19 (2008)
5EEIlya Gluhovsky, David Vengerov, Brian O'Krafka: Comprehensive multivariate extrapolation modeling of multiprocessor cache miss rates. ACM Trans. Comput. Syst. 25(1): (2007)
4EEDavid Vengerov: Adaptive Utility-Based Scheduling in Resource-Constrained Systems. Australian Conference on Artificial Intelligence 2005: 477-488
3EEDavid Vengerov, Nikolai Iakovlev: A Reinforcement Learning Framework for Dynamic Resource Allocation: First Results.. ICAC 2005: 339-340
2EEDavid Vengerov, Nicholas Bambos, Hamid R. Berenji: A fuzzy reinforcement learning approach to power control in wireless transmitters. IEEE Transactions on Systems, Man, and Cybernetics, Part B 35(4): 768-778 (2005)
1 Hamid R. Berenji, David Vengerov: On Convergence of Fuzzy Reinforcement Learning. FUZZ-IEEE 2001: 618-621

Coauthor Index

1Nicholas Bambos [2]
2Hamid R. Berenji [1] [2]
3Ilya Gluhovsky [5]
4Nikolai Iakovlev [3]
5Brian O'Krafka [5]

Colors in the list of coauthors

Copyright © Sun May 17 03:24:02 2009 by Michael Ley (ley@uni-trier.de)