Sciweavers

6 search results - page 1 / 2
» Reinforcement learning with utility-aware agents for market-...
Sort
View
ATAL
2004
Springer
14 years 1 months ago
Resource Allocation in the Grid Using Reinforcement Learning
One of the main challenges in Grid computing is efficient allocation of resources (CPU-hours, network bandwidth, etc.) to the tasks submitted by users. Due to the lack of centrali...
Aram Galstyan, Karl Czajkowski, Kristina Lerman
ATAL
2007
Springer
14 years 1 months ago
Reinforcement learning with utility-aware agents for market-based resource allocation
Categories and Subject Descriptors Artificial Intelligence Distributed Artificial Intelligence General Terms Keywords
Eduardo Rodrigues Gomes, Ryszard Kowalczyk
ATAL
2003
Springer
14 years 28 days ago
Resource allocation games with changing resource capacities
In this paper we study a class of resource allocation games which are inspired by the El Farol Bar problem. We consider a system of competitive agents that have to choose between ...
Aram Galstyan, Shashikiran Kolar, Kristina Lerman

Publication
233views
12 years 6 months ago
Sparse reward processes
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...
Christos Dimitrakakis
CSE
2008
IEEE
14 years 2 months ago
Adaptation to Dynamic Resource Availability in Ad Hoc Grids through a Learning Mechanism
Ad-hoc Grids are highly heterogeneous and dynamic networks, one of the main challenges of resource allocation in such environments is to find mechanisms which do not rely on the ...
Behnaz Pourebrahimi, Koen Bertels