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AAAI
2006
13 years 9 months ago
Sample-Efficient Evolutionary Function Approximation for Reinforcement Learning
Reinforcement learning problems are commonly tackled with temporal difference methods, which attempt to estimate the agent's optimal value function. In most real-world proble...
Shimon Whiteson, Peter Stone
AO
2006
97views more  AO 2006»
13 years 8 months ago
An ontological model of device function: industrial deployment and lessons learned
Functionality is one of the key concepts of knowledge about artifacts. Functional knowledge shows a part of designer's intention (so-called design rationale), and thus its sha...
Yoshinobu Kitamura, Yusuke Koji, Riichiro Mizoguch...
SERP
2004
13 years 9 months ago
COTS-Aware Requirements Engineering and Software Architecting
At the heart of a well-disciplined, systematic methodology that explicitly supports the use of COTS components is a clearly defined process for effectively using components that m...
Lawrence Chung, Kendra Cooper
IEEEPACT
2008
IEEE
14 years 2 months ago
Feature selection and policy optimization for distributed instruction placement using reinforcement learning
Communication overheads are one of the fundamental challenges in a multiprocessor system. As the number of processors on a chip increases, communication overheads and the distribu...
Katherine E. Coons, Behnam Robatmili, Matthew E. T...
AIRWEB
2005
Springer
14 years 1 months ago
An Analysis of Factors Used in Search Engine Ranking
This paper investigates the influence of different page features on the ranking of search engine results. We use Google (via its API) as our testbed and analyze the result rankin...
Albert Bifet, Carlos Castillo, Paul-Alexandru Chir...