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» Using Learning in a Control Agent
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PRIMA
2009
Springer
14 years 2 months ago
Recursive Adaptation of Stepsize Parameter for Non-stationary Environments
In this article, we propose a method to adapt stepsize parameters used in reinforcement learning for dynamic environments. In general reinforcement learning situations, a stepsize...
Itsuki Noda
AAAI
2006
13 years 9 months ago
Predicting Electricity Distribution Feeder Failures Using Machine Learning Susceptibility Analysis
A Machine Learning (ML) System known as ROAMS (Ranker for Open-Auto Maintenance Scheduling) was developed to create failure-susceptibility rankings for almost one thousand 13.8kV-...
Philip Gross, Albert Boulanger, Marta Arias, David...
GECCO
2004
Springer
113views Optimization» more  GECCO 2004»
14 years 1 months ago
Implications of Epigenetic Learning Via Modification of Histones on Performance of Genetic Programming
Extending the notion of inheritable genotype in genetic programming (GP) from the common model of DNA into chromatin (DNA and histones), we propose an approach of embedding in GP a...
Ivan Tanev, Kikuo Yuta
AI
1999
Springer
13 years 8 months ago
Learning Action Strategies for Planning Domains
There are many different approaches to solving planning problems, one of which is the use of domain specific control knowledge to help guide a domain independent search algorithm. ...
Roni Khardon
SAINT
2007
IEEE
14 years 2 months ago
Hierarchical Agent System for Web-Based Sensor Network
To achieve a smart sensor network with Web-based sensor nodes such as Field Servers, we propose a hierarchical agent system that manages sensor nodes autonomously and flexibly, an...
Tokihiro Fukatsu, Takuji Kiura, Kei Tanaka, Masayu...