Python Deep Learning Projects

Module 2 – agent_replay_dqn.py

This Python file contains the four functions, namely  agent(), agent_action(), performance_plot(), and replay():

"""This module contains."""import randomimport numpy as npimport matplotlib.pyplot as pltfrom keras.layers import Dense, Dropout, Activationfrom keras.models import Sequentialfrom keras.optimizers import Adamdef agent(states, actions):    """Simple Deep Neural Network."""    model = Sequential()    model.add(Dense(16, input_dim=states))    model.add(Activation('relu'))    model.add(Dense(16))    model.add(Activation('relu'))    model.add(Dense(16))    model.add(Activation('relu'))    model.add(Dense(actions))    model.add(Activation('linear'))    return model

For the remaining part of this file, please visit here: https://github.com/PacktPublishing/Python-Deep-Learning-Projects/blob/master/Chapter14/agent_replay_dqn.py ...