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ML
1998
ACM
101views Machine Learning» more  ML 1998»
13 years 5 months ago
Elevator Group Control Using Multiple Reinforcement Learning Agents
Recent algorithmic and theoretical advances in reinforcement learning (RL) have attracted widespread interest. RL algorithmshave appeared that approximatedynamic programming on an ...
Robert H. Crites, Andrew G. Barto
WDAG
2010
Springer
218views Algorithms» more  WDAG 2010»
13 years 4 months ago
Anonymous Asynchronous Systems: The Case of Failure Detectors
Abstract: Due the multiplicity of loci of control, a main issue distributed systems have to cope with lies in the uncertainty on the system state created by the adversaries that ar...
François Bonnet, Michel Raynal
JUCS
2010
215views more  JUCS 2010»
13 years 16 days ago
A Multidisciplinary Survey of Computational Techniques for the Modelling, Simulation and Analysis of Biochemical Networks
: All processes of life are controlled by networks of interacting biochemical components. The purpose of modelling these networks is manifold. From a theoretical point of view it a...
James Decraene, Thomas Hinze
PLDI
2011
ACM
12 years 8 months ago
EnerJ: approximate data types for safe and general low-power computation
Energy is increasingly a first-order concern in computer systems. Exploiting energy-accuracy trade-offs is an attractive choice in applications that can tolerate inaccuracies. Re...
Adrian Sampson, Werner Dietl, Emily Fortuna, Danus...
POPL
2012
ACM
12 years 1 months ago
A compiler and run-time system for network programming languages
Software-defined networks (SDNs) are a new implementation architecture in which a controller machine manages a distributed collection of switches, by instructing them to install ...
Christopher Monsanto, Nate Foster, Rob Harrison, D...