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» Reinforcement Learning with the Use of Costly Features
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SAC
2005
ACM
15 years 6 months ago
Reinforcement learning agents with primary knowledge designed by analytic hierarchy process
This paper presents a novel model of reinforcement learning agents. A feature of our learning agent model is to integrate analytic hierarchy process (AHP) into a standard reinforc...
Kengo Katayama, Takahiro Koshiishi, Hiroyuki Narih...
ICMLA
2009
14 years 10 months ago
Automatic Feature Selection for Model-Based Reinforcement Learning in Factored MDPs
Abstract--Feature selection is an important challenge in machine learning. Unfortunately, most methods for automating feature selection are designed for supervised learning tasks a...
Mark Kroon, Shimon Whiteson
ICANN
2010
Springer
15 years 1 months ago
Using Reinforcement Learning to Guide the Development of Self-organised Feature Maps for Visual Orienting
We present a biologically inspired neural network model of visual orienting (using saccadic eye movements) in which targets are preferentially selected according to their reward va...
Kevin Brohan, Kevin N. Gurney, Piotr Dudek
72
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AAAI
2008
15 years 2 months ago
Discover Relevant Environment Feature Using Concurrent Reinforcement Learning
Zhihui Luo, David A. Bell, Barry McCollum
83
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EUROGP
2008
Springer
15 years 2 months ago
Feature Discovery in Reinforcement Learning Using Genetic Programming
Sertan Girgin, Philippe Preux