`prevision_quantum_nn.applications.reinforcement_learning.q_learning`¶

Q-Learning module

Module Contents¶

QLearner Q-table Learner

class prevision_quantum_nn.applications.reinforcement_learning.q_learning.QLearner(params)¶

Q-table Learner

This class implements a Q-table.

params¶

containing the parameters of the model

Type:	dictionary

get_cell(self, state)¶

Returns the cell in which the state is.

Parameters:	state (numpy array) – state at which we wish to obtain the corresponding cell
Returns:	tuple cell indices at which the Q-table will be updated
Return type:	cell

fit(self, state, reward)¶

Fits the Q-table at a given state.

Parameters:	state (numpy array) – state at which the Q-table needs to fit reward (float) – reward that was yielded when passing through this state

forward(self, state, action=None)¶

Forwards the Q-able through the state (action) provided.

Parameters:

state (numpy array) – state at which the Q-table needs to be evaluated
action (int) – if the Q-table is formed with the state action method, action needs to be provided as an option.

Returns:

Return type:

value