813 search results - page 53 / 163 » Ensemble Algorithms in Reinforcement Learning |
166
Voted
SSPR
2004
Springer
15 years 9 months ago
2004
Springer
Classification fusion combines multiple classifications of data into a single classification solution of greater accuracy. Feature extraction aims to reduce the computational cost ...
180
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ICML
1995
IEEE
16 years 4 months ago
1995
IEEE
In this paper we introduce Ant-Q, a family of algorithms which present many similarities with Q-learning (Watkins, 1989), and which we apply to the solution of symmetric and asymm...
210
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SIGMOD
2006
ACM
16 years 4 months ago
2006
ACM
As data streams are gaining prominence in a growing number of emerging application domains, classification on data streams is becoming an active research area. Currently, the typi...
124
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ICML
2010
IEEE
15 years 5 months ago
2010
IEEE
We introduce new, efficient algorithms for value iteration with multiple reward functions and continuous state. We also give an algorithm for finding the set of all nondominated a...
158
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PRICAI
2000
Springer
15 years 7 months ago
2000
Springer
This paper presents the CQ algorithm which decomposes and solves a Markov Decision Process (MDP) by automatically generating a hierarchy of smaller MDPs using state variables. The ...