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ICML
2010
IEEE
15 years 4 months ago
Approximate Predictive Representations of Partially Observable Systems
We provide a novel view of learning an approximate model of a partially observable environment from data and present a simple implemenf the idea. The learned model abstracts away ...
Monica Dinculescu, Doina Precup
SASO
2009
IEEE
16 years 1 months ago
Self-Organization of Patrolling-Ant Algorithms
—We consider here multi-agent patrolling as the task for a group of agents to repeatedly visit all the cells of a discrete environment. Wagner et al. [1] have introduced patrolli...
Arnaud Glad, Olivier Buffet, Olivier Simonin, Fran...
132
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ICRA
2007
IEEE
107views Robotics» more  ICRA 2007»
16 years 1 months ago
Job-agents: How to coordinate them?
– With our proposed decomposition into layers, a generic framework leading to the reuse of previously produced software and the extraction of useful portions can be achieved. The...
Niak Wu Koh, Cezary Zielinski, Marcelo H. Ang, Ser...
ATAL
2005
Springer
16 years 7 days ago
Approximating state estimation in multiagent settings using particle filters
State estimation consists of updating an agent’s belief given executed actions and observed evidence to date. In single agent environments, the state estimation can be formalize...
Prashant Doshi, Piotr J. Gmytrasiewicz
ATAL
2004
Springer
16 years 2 days 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