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Hyperparameters to train the WTPN.
| Hyperparameter | Value | Description |
|---|---|---|
| σ | 5×10−4 | Stopping criteria in Algorithm 1 |
| β | 5 | Penalty parameter in Algorithm 1 |
| n | 4 | Number of weights (OARs) to be tuned |
| γ | 0.5 | Discount factor |
| ∈ | 0.99 ~ 0.1 | Probability of ∈-greedy approach |
| Npatient | 5 | Number of training patient cases |
| Nepoch | 100 | Number of training epoch |
| Ntrain | 25 | Number of training steps in each epoch |
| Nupdate | 10 | Number of steps to update |
| δ | 1×10−4 | Learning rate (step size of gradient descent for W) |
