Keras Deep Learning Cookbook

Getting ready

We will be using the keras-rl implementation of DQN (https://github.com/keras-rl/keras-rl):

import numpy as npimport gymfrom keras.models import Sequentialfrom keras.layers import Dense, Activation, Flattenfrom keras.optimizers import Adamfrom rl.agents.dqn import DQNAgentfrom rl.policy import BoltzmannQPolicyfrom rl.memory import SequentialMemory

Let's now look at each of the three classes imported from keras-rl.