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AAAI
2011
14 years 6 months ago
Coordinated Multi-Agent Reinforcement Learning in Networked Distributed POMDPs
In many multi-agent applications such as distributed sensor nets, a network of agents act collaboratively under uncertainty and local interactions. Networked Distributed POMDP (ND...
Chongjie Zhang, Victor R. Lesser
FCS
2006
15 years 8 months ago
Cryptographic and Computational Challenges in Grid Computing
A computational grid is a large-scale distributed computing environment capable of providing dependable, consistent, pervasive, and inexpensive access to high-end computational re...
Song Y. Yan, Glyn James, Gongyi Wu
NIPS
2008
15 years 8 months ago
Asynchronous Distributed Learning of Topic Models
Distributed learning is a problem of fundamental interest in machine learning and cognitive science. In this paper, we present asynchronous distributed learning algorithms for two...
Arthur Asuncion, Padhraic Smyth, Max Welling
ICMLA
2003
15 years 8 months ago
A Distributed Reinforcement Learning Approach to Pattern Inference in Go
— This paper shows that the distributed representation found in Learning Vector Quantization (LVQ) enables reinforcement learning methods to cope with a large decision search spa...
Myriam Abramson, Harry Wechsler
ECTEL
2006
Springer
15 years 10 months ago
Data and Application Integration in Learning Content Management Systems: A Web Services Approach
This paper describes a service-oriented approach for the integration of third-party external applications and resources into an existing open source eLearning environment. We detai...
Ivan Madjarov, Omar Boucelma