Geometric reinforcement learning for path planning of UAVs
We proposed a new learning algorithm, named Geometric Reinforcement Learning (GRL), for path planning of Unmanned Aerial Vehicles (UAVs). The contributions of GRL are as: (1) GRL exploits a specific reward matrix, which is simple and efficient for path planning of multiple UAVs. The candidate points...
| Main Authors: | , , , |
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| Format: | Journal Article |
| Published: |
Springer Netherlands
2013
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| Online Access: | http://hdl.handle.net/20.500.11937/13448 |