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Reinforcement Learning with TensorFlow
book

Reinforcement Learning with TensorFlow

by Sayon Dutta
April 2018
Intermediate to advanced content levelIntermediate to advanced
334 pages
10h 18m
English
Packt Publishing
Content preview from Reinforcement Learning with TensorFlow

Actions

The actions are the things an agent can perform or execute in a particular state. In other words, actions are sets of things an agent is allowed to do in the given environment. Like states, actions can also be either discrete or continuous.

Consider the following gridworld example having 12 discrete states and 4 discrete actions (UP, DOWN, RIGHT, and LEFT):

The preceding example shows the action space to be a discrete set space, that is, a  A where, A = {UP, DOWN, RIGHT, and LEFT}. It can also be treated as a function of state, that ...

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Publisher Resources

ISBN: 9781788835725Supplemental Content