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ECML
2004
Springer
15 years 3 months ago
Batch Reinforcement Learning with State Importance
Abstract. We investigate the problem of using function approximation in reinforcement learning where the agent’s policy is represented as a classifier mapping states to actions....
Lihong Li, Vadim Bulitko, Russell Greiner
75
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SOSP
2003
ACM
15 years 7 months ago
Capriccio: scalable threads for internet services
This paper presents Capriccio, a scalable thread package for use with high-concurrency servers. While recent work has advocated event-based systems, we believe that threadbased sy...
J. Robert von Behren, Jeremy Condit, Feng Zhou, Ge...
HPDC
2009
IEEE
15 years 4 months ago
Exploring data reliability tradeoffs in replicated storage systems
This paper explores the feasibility of a cost-efficient storage architecture that offers the reliability and access performance characteristics of a high-end system. This architec...
Abdullah Gharaibeh, Matei Ripeanu
HPDC
2007
IEEE
15 years 4 months ago
Direct-pNFS: scalable, transparent, and versatile access to parallel file systems
Grid computations require global access to massive data stores. To meet this need, the GridNFS project aims to provide scalable, high-performance, transparent, and secure wide-are...
Dean Hildebrand, Peter Honeyman
CCGRID
2005
IEEE
15 years 3 months ago
Empirical evaluation of shared parallel execution on independently scheduled clusters
Parallel machines are typically space shared, or time shared such that only one application executes on a group of nodes at any given time. It is generally assumed that executing ...
M. Ghanesh, S. Kumar, Jaspal Subhlok