Advances, Systems and Applications
Table 2 Simulation parameters
From: Smart and efficient EV charging navigation scheme in vehicular edge computing networks
Parameter | Value/unit |
|---|---|
Fixed time interval\(T_{re}\) | 0.5h |
Learning rate \(\alpha\) | 0.01 |
Discount rate \(\gamma\) | 0.9 |
Exploration rate \(\varepsilon\) | 0.8 |
Training steps M | 400 |
Replay memory size | 2000 |
Target DNN renew rate | 200 |