 | 2009 |
|---|
| 9 |       | David Vengerov:
Modeling, analysis and throughput optimization of a generational garbage collector.
ISMM 2009: 1-9 |
| 8 | | David Vengerov:
A reinforcement learning framework for utility-based scheduling in resource-constrained systems.
Future Generation Comp. Syst. 25(7): 728-736 (2009) |
| 2008 |
|---|
| 7 | | David Vengerov:
A gradient-based reinforcement learning approach to dynamic pricing in partially-observable environments.
Future Generation Comp. Syst. 24(7): 687-693 (2008) |
| 6 | | David Vengerov:
A reinforcement learning framework for online data migration in hierarchical storage systems.
The Journal of Supercomputing 43(1): 1-19 (2008) |
| 2007 |
|---|
| 5 | | Ilya Gluhovsky,
David Vengerov,
Brian O'Krafka:
Comprehensive multivariate extrapolation modeling of multiprocessor cache miss rates.
ACM Trans. Comput. Syst. 25(1): (2007) |
| 2005 |
|---|
| 4 | | David Vengerov:
Adaptive Utility-Based Scheduling in Resource-Constrained Systems.
Australian Conference on Artificial Intelligence 2005: 477-488 |
| 3 | | David Vengerov,
Nikolai Iakovlev:
A Reinforcement Learning Framework for Dynamic Resource Allocation: First Results..
ICAC 2005: 339-340 |
| 2 | | David 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) |
| 2001 |
|---|
| 1 |  | Hamid R. Berenji,
David Vengerov:
On Convergence of Fuzzy Reinforcement Learning.
FUZZ-IEEE 2001: 618-621 |
