Method reset

rl2/cartpole/td_lambda.py:54–55

(self)

    self.eligibilities = np.zeros((env.action_space.n, D))

  def reset(self):
    self.eligibilities = np.zeros_like(self.eligibilities)

  def predict(self, s):
    X = self.feature_transformer.transform([s])