Mobilized ad-hoc networks: A reinforcement learning approach
Research in mobile ad-hoc networks has focused on situations in which nodes have no control over their movements. We investigate an important but overlooked domain in which nodes do have control over their movements. Reinforcement learning methods can be used to control both packet routing decisions...
Main Authors: | , , |
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Language: | en_US |
Published: |
2004
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Subjects: | |
Online Access: | http://hdl.handle.net/1721.1/6732 |