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ECML
2004
Springer
15 years 11 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
SOSP
2003
ACM
16 years 2 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
16 years 22 days 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
16 years 9 days 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 11 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