Table 2.
Parameters used in DDQN
| Parameter | Value |
|---|---|
| The parameter ε of ε-greedy algorithm | 0.8 |
| Discount factor γ | 0.9 |
| Learning rate α | 0.01 |
| Maximum number of transitions M in replay memory | 30,000 |
| The size of mini-batch training set Ms | 64 |
| Descending degree tar | 0.1 |
| τ steps for updating the target network | 200 |