259 search results - page 24 / 52 » Resource Allocation in the Grid Using Reinforcement Learning |
CCGRID
2004
IEEE
13 years 11 months ago
2004
IEEE
1 Scheduling resources on Grids is a well-known problem. The extension of Grids to LambdaGrids requires scheduling of lambdas, i.e., end-to-end high-speed circuits. In this paper, ...
Publication
We introduce a class of learning problems where the agent is presented with a series of tasks. Intuitively, if there is relation among those tasks, then the information gained duri...
ATAL
2009
Springer
14 years 2 months ago
2009
Springer
In this paper, we study multi-agent economic systems using a recent approach to economic modeling called Agent-based Computational Economics (ACE): the application of the Complex ...
ATAL
2007
Springer
14 years 1 months ago
2007
Springer
Temporal difference reinforcement learning algorithms are perfectly suited to autonomous agents because they learn directly from an agent’s experience based on sequential actio...
NIPS
2008
13 years 9 months ago
2008
Many popular optimization algorithms, like the Levenberg-Marquardt algorithm (LMA), use heuristic-based "controllers" that modulate the behavior of the optimizer during ...