prevision_quantum_nn.applications.reinforcement_learning.qnn_q_learning

Deep Q Learning module

Module Contents

Classes

QNNQLearner

DeepQLearner.

class prevision_quantum_nn.applications.reinforcement_learning.qnn_q_learning.QNNQLearner(params, preprocessing_params=None, model_params=None, postprocessing_params=None)

Bases: prevision_quantum_nn.applications.reinforcement_learning.base_learner.BaseLearner

DeepQLearner.

Base class for further implementations of Deep Q Learners

params

contains the parameters of the model

Type

dictionary

input_size

he size of the state space

Type

int

num_layers

the number of layers in the deep model

Type

int

model

the model itself

Type

tf.keras.model

optimizer_name

the name of the optimizer, can be adam for example

Type

str

fit(self, x_train, y_train)

Fit the model.

Parameters

• x_train (numpy array) – contains the features of the observations

• y_train (numpy array) – contains the targets of the observations

forward(self, state)