664 search results - page 49 / 133 » Combining Reinforcement Learning with a Local Control Algori... |
110
Voted
ICPR
2008
IEEE
16 years 3 months ago
2008
IEEE
To learn a metric for query?based operations, we combine the concept underlying manifold learning algorithms and the minimum volume ellipsoid metric in a unified algorithm to find...
141
Voted
ICPR
2010
IEEE
15 years 5 months ago
2010
IEEE
Multiple kernel learning (MKL) uses a weighted combination of kernels where the weight of each kernel is optimized during training. However, MKL assigns the same weight to a kerne...
107
click to vote
FLAIRS
1998
15 years 3 months ago
1998
This work studies the control of robots in the adversarial world of "Hunt the Wumpus". The hybrid learning algorithm which controls the robots behavior is a combination ...
117
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CDC
2009
IEEE
15 years 2 days ago
2009
IEEE
Abstract-- Local convergence is a limitation of many optimization approaches for multimodal functions. For hybrid model learning, this can mean a compromise in accuracy. We develop...
118
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CDC
2010
IEEE
14 years 9 months ago
2010
IEEE
Abstract-- We consider reinforcement learning, and in particular, the Q-learning algorithm in large state and action spaces. In order to cope with the size of the spaces, a functio...