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Python Reinforcement Learning Projects
book

Python Reinforcement Learning Projects

by Sean Saito, Yang Wenzhuo, Rajalingappaa Shanmugamani
September 2018
Intermediate to advanced
296 pages
9h 10m
English
Packt Publishing
Content preview from Python Reinforcement Learning Projects

Actor script

The actor script is where the policy model is defined. We begin by importing certain modules from Keras: layers, optimizers, models, and the backend. These modules will help us to construct our neural network: Let's start by importing the required functions from Keras.

from keras import layers, models, optimizersfrom keras import backend as K
  1. We create a class called Actor, whose object takes in the parameters of the state and action size:
class Actor:          # """Actor (policy) Model. """    def __init__(self, state_size, action_size):        self.state_size = state_size        self.action_size = action_size
  1. The preceding code shows the state size, which represents the dimension of each state, and the action size, which represents the dimensions ...
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Publisher Resources

ISBN: 9781788991612