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Python Deep Learning - Second Edition
book

Python Deep Learning - Second Edition

by Ivan Vasilev, Daniel Slater, Gianmario Spacagna, Peter Roelants, Valentino Zocca
January 2019
Intermediate to advanced content levelIntermediate to advanced
386 pages
11h 13m
English
Packt Publishing
Content preview from Python Deep Learning - Second Edition

Optimal policies and value functions

The goal of the agent is to maximize the total cumulative reward in the long run. The policy, which maximizes the total cumulative reward is called the optimal policy and is denoted with denoted with . There could be different optimal policies, but they all share the same value functions (optimal value functions).

We'll denote the state-value and action-value functions with respect to the optimal policy, , with the following:

Let's expand on the optimal action-value function. First, we start with a state, ...

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Publisher Resources

ISBN: 9781789348460Supplemental Content