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A Low-Cost Q-Learning-Based Approach to Handle Continuous Space Problems for Decentralized Multi-Agent Robot Navigation in Cluttered Environments.
Vahid Babaei Ajabshir
Mehmet Serdar Güzel
Erkan Bostanci
Published in:
IEEE Access (2022)
Keyphrases
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multi agent
robot navigation
low cost
continuous space
cluttered environments
reinforcement learning
real time
autonomous robots
discrete space
mobile robot
image sequences
mathematical morphology