Collision prediction based q-learning for mobile robot navigation in unknown dynamic environments
Q-learning (QL) approach is constantly used for mobile robot (MR) navigation in unknown dynamic environment because of its simplicity and well-developed theory. However, its salient downside is the curse of dimensionality problem, where it incurs a huge computational power and memory requirement. Th...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
American Scientific Publishers
2017
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| Online Access: | http://psasir.upm.edu.my/id/eprint/61142/1/Collision%20prediction%20based%20q-learning%20for%20mobile%20robot%20navigation%20in%20unknown%20dynamic%20environments.pdf |