1176 search results - page 42 / 236 » Sparse reward processes |
143
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ICC
2008
IEEE
15 years 10 months ago
2008
IEEE
—We consider opportunistic communications over multiple channels where the state (“good” or “bad”) of each channel evolves as independent and identically distributed Mark...
135
Voted
IWANN
1999
Springer
15 years 8 months ago
1999
Springer
To avoid the curse of dimensionality, function approximators are used in reinforcement learning to learn value functions for individual states. In order to make better use of comp...
138
Voted
NECO
2007
15 years 3 months ago
2007
Learning agents, whether natural or artificial, must update their internal parameters in order to improve their behavior over time. In reinforcement learning, this plasticity is ...
142
Voted
IGARSS
2009
15 years 1 months ago
2009
The paper presents a general framework for change detection in radar images, for an operational purpose and in the context of environmental monitoring. This framework is based on ...
134
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CVPR
1999
IEEE
16 years 5 months ago
1999
IEEE
This paper presents a framework for integrating multiple sensory data, sparse range data and dense depth maps from shape from shading in order to improve the 3D reconstruction of ...