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Computational Intelligence and Neuroscience
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Computational Intelligence and Neuroscience
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2023
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Article
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Tab 3
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Research Article
IoT-Based Reinforcement Learning Using Probabilistic Model for Determining Extensive Exploration through Computational Intelligence for Next-Generation Techniques
Table 3
Cumulative regret of each algorithm in 10,000 episodes.
Variable settings
DQN
BDQN
BBDQN
K
= 10
N
= 10
9914.88
599.65
649.29
N
= 20
9922.02
9914.60
1590.03
N
= 30
9912.36
9910.96
5203.65
N
= 20
K
= 10
9922.02
9914.02
1590.03
K
= 20
9922.02
9912.13
1901.18
K
= 30
9922.02
1857.49
1784.71