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Wireless Communications and Mobile Computing
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Wireless Communications and Mobile Computing
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2022
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Article
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Tab 2
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Research Article
Factorization
-
Learning Initialization for Parameter Optimization in Cellular Networks
Table 2
Comparison of performance.
Algorithms
Factorization
Convergence episodes
Average episode reward
-
Greedy
Boltzmann
-
Greedy
Boltzmann
-
learning
Original
54.6
367.8
-12.14
-0.590
Factorized
480.7
774.1
8.514
11.91
Dyna
-
learning [
12
]
Original
64.9
357.4
-10.26
-1.806
Factorized
471.5
702.6
9.246
13.16
-
learning [
13
]
Original
57.1
374
-11.90
0.018
Factorized
464.1
718.6
7.253
10.42
Double
-
learning [
14
]
Original
56.8
340.6
-12.60
-0.510
Factorized
479
824.8
9.393
14.25
Speedy
-
learning [
15
]
Original
68.7
365.6
-8.884
1.151
Factorized
522
699.1
14.39
14.11