Research Article
Deep Grid Scheduler for 5G NB-IoT Uplink Transmission
Table 4
DDQN algorithm parameters.
| | Parameter name | Parameter value |
| | Greedy policy, | 0.9 | | Reward discount, | 0.9 | | Learning rate, | 0.01 | | Target update frequency | 100 | | Batch size | 256 | | Memory capacity | 5000 | | Actions | 12 | | States | 13 |
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