(self, X)
| 92 | self.b2 = np.zeros(K) |
| 93 | |
| 94 | def forward(self, X): |
| 95 | Z = self.f(X.dot(self.W1) + self.b1) |
| 96 | return softmax(Z.dot(self.W2) + self.b2) |
| 97 | |
| 98 | def sample_action(self, x): |
| 99 | # assume input is a single state of size (D,) |
no test coverage detected