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Fig 1.

An example of a wireless mesh network.

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Table 1.

The notations used in this paper.

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Fig 2.

Demonstrate the fundamental principles of RL.

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Table 2.

Actions taken by the mesh routers.

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Table 2 Expand

Table 3.

Network instances use for validating our proposed method.

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Table 4.

The parameters of algorithms and scenarios.

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Fig 3.

Compare WMN topologies using different router node placement algorithms.

(a) WOA, (b) GA, (c) PSO, (d) MVO, and (e) reinforcement learning.

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Fig 4.

Evaluate the network connectivity versus the number of mesh routers using NI-1.

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Fig 5.

Evaluate the network connectivity versus the number of mesh routers using NI-2.

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Fig 6.

Evaluate the network connectivity versus the number of mesh clients using NI-3.

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Fig 7.

Evaluate the network connectivity versus the number of mesh clients using NI-4.

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Fig 8.

Evaluate the network connectivity versus the coverage radius of mesh routers using NI-5.

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Fig 9.

Evaluate the network connectivity versus the coverage radius of mesh routers using NI-6.

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Fig 10.

Evaluate the network connectivity versus network area using NI-7.

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Fig 11.

Evaluate the network connectivity versus network area using NI-8.

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