81 search results - page 11 / 17 » Chess Neighborhoods, Function Combination, and Reinforcement... |
ICMLA
2010
14 years 7 months ago
2010
Reinforcement learning algorithms that employ neural networks as function approximators have proven to be powerful tools for solving optimal control problems. However, their traini...
AAAI
2010
14 years 11 months ago
2010
We consider the problem of incorporating end-user advice into reinforcement learning (RL). In our setting, the learner alternates between practicing, where learning is based on ac...
CCGRID
2008
IEEE
15 years 4 months ago
2008
IEEE
—Large scale production grids are a major case for autonomic computing. Following the classical definition of Kephart, an autonomic computing system should optimize its own beha...
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JMLR
2010
14 years 4 months ago
2010
With the goal to generate more scalable algorithms with higher efficiency and fewer open parameters, reinforcement learning (RL) has recently moved towards combining classical tec...
ICML
1998
IEEE
15 years 10 months ago
1998
IEEE
This paper introduces a new algorithm, Q2, foroptimizingthe expected output ofamultiinput noisy continuous function. Q2 is designed to need only a few experiments, it avoids stron...