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ICCBR
2005
Springer
16 years 2 days 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»
16 years 1 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
15 years 8 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
14 years 6 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»
15 years 6 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