Path planning self-learning Algorithm for a dynamic changing environment
Safe and optimal path planning in a cluttered changing environment for agents’ movement is an area of research, which needs further investigations. The existing methods are able to generated secure trajectories, but they are not efficient enough to learn from their mistakes, especially when dynamics...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
EDP Sciences
2016-01-01
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Series: | MATEC Web of Conferences |
Online Access: | http://dx.doi.org/10.1051/matecconf/20164203002 |