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» Algorithm Selection using Reinforcement Learning
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129
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ICPR
2008
IEEE
16 years 4 months ago
Fuzzy rule selection using Iterative Rule Learning for speech data classification
Fuzzy rule base systems have been successfully used for pattern classification. These systems focus on generating a rule-base from numerical input data. The resulting rule-base ca...
Bin Ma, Chng Eng Siong, Haizhou Li, Omid Dehzangi
127
Voted
FBIT
2007
IEEE
15 years 9 months ago
Learning to Drive a Real Car in 20 Minutes
The paper describes our first experiments on Reinforcement Learning to steer a real robot car. The applied method, Neural Fitted Q Iteration (NFQ) is purely data-driven based on ...
Martin Riedmiller, Michael Montemerlo, Hendrik Dah...
SMC
2007
IEEE
118views Control Systems» more  SMC 2007»
15 years 9 months ago
One-class learning with multi-objective genetic programming
One-class classification naturally only provides one class of exemplars on which to construct the classification model. In this work, multiobjective genetic programming (GP) all...
Robert Curry, Malcolm I. Heywood
NIPS
2008
15 years 4 months ago
Signal-to-Noise Ratio Analysis of Policy Gradient Algorithms
Policy gradient (PG) reinforcement learning algorithms have strong (local) convergence guarantees, but their learning performance is typically limited by a large variance in the e...
John W. Roberts, Russ Tedrake
GECCO
2006
Springer
198views Optimization» more  GECCO 2006»
15 years 7 months ago
Reward allotment in an event-driven hybrid learning classifier system for online soccer games
This paper describes our study into the concept of using rewards in a classifier system applied to the acquisition of decision-making algorithms for agents in a soccer game. Our a...
Yuji Sato, Yosuke Akatsuka, Takenori Nishizono