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NIPS
1998
15 years 9 months ago
Risk Sensitive Reinforcement Learning
In this paper, we consider Markov Decision Processes (MDPs) with error states. Error states are those states entering which is undesirable or dangerous. We define the risk with re...
Ralph Neuneier, Oliver Mihatsch
WSC
1998
15 years 9 months ago
Input Modeling
Most discrete-event simulation models have stochastic elements that mimic the probabilistic nature of the system under consideration. A close match between the input model and the...
Lawrence Leemis
IOPADS
1997
152views more  IOPADS 1997»
15 years 9 months ago
Competitive Parallel Disk Prefetching and Buffer Management
We provide a competitive analysis framework for online prefetching and buffer management algorithms in parallel I/O systems, using a read-once model of block references. This has ...
Rakesh D. Barve, Mahesh Kallahalla, Peter J. Varma...
CEC
2010
IEEE
15 years 8 months ago
Beyond No Free Lunch: Realistic algorithms for arbitrary problem classes
In this paper we present a simple and general new No Free Lunch-like result that applies to revisiting algorithms searching arbitrary problem sets. We begin by unifying the assumpt...
James A. R. Marshall, Thomas G. Hinton
GECCO
2008
Springer
146views Optimization» more  GECCO 2008»
15 years 8 months ago
A formal performance modeling framework for bio-inspired ad hoc routing protocols
Bio-inspired ad hoc routing is an active area of research. The designers of these algorithms predominantly evaluate the performance of their protocols with the help of simulation ...
Muhammad Saleem, Syed Ali Khayam, Muddassar Farooq