(self, X)
| 86 | self.b2 = np.zeros(K) |
| 87 | |
| 88 | def forward(self, X): |
| 89 | Z = self.f(X.dot(self.W1) + self.b1) |
| 90 | return softmax(Z.dot(self.W2) + self.b2) |
| 91 | |
| 92 | def sample_action(self, x): |
| 93 | # assume input is a single state of size (D,) |
no test coverage detected