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ICCBR
2005
Springer
14 years 2 months ago
CBR for State Value Function Approximation in Reinforcement Learning
CBR is one of the techniques that can be applied to the task of approximating a function over high-dimensional, continuous spaces. In Reinforcement Learning systems a learning agen...
Thomas Gabel, Martin A. Riedmiller
TPCTC
2009
Springer
104views Hardware» more  TPCTC 2009»
14 years 3 months ago
The State of Energy and Performance Benchmarking for Enterprise Servers
To address the server industry’s marketing focus on performance, benchmarking organizations have played a pivotal role in developing techniques to determine the maximum achievabl...
Andrew Fanara, Evan Haines, Arthur Howard
WSC
2001
13 years 10 months ago
T.LoaDS abbreviated systems architecture
The Tactical Logistics Distribution System (T.LoaDS or TLoaDS) is a powerful and flexible simulation application for assessing current or future tactical or sea-based distribution...
Bob Hamber
AIIA
2011
Springer
12 years 8 months ago
Over-Subscription Planning with Boolean Optimization: An Assessment of State-of-the-Art Solutions
Abstract. In this work we present an assessment of state-of-the-art Boolean optimization solvers from different AI communities on over-subscription planning problems. The goal of t...
Marco Maratea, Luca Pulina
BMCBI
2010
132views more  BMCBI 2010»
13 years 9 months ago
New statistical potential for quality assessment of protein models and a survey of energy functions
Background: Scoring functions, such as molecular mechanic forcefields and statistical potentials are fundamentally important tools in protein structure modeling and quality assess...
Dmitry Rykunov, András Fiser