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Deep Reinforcement Learning Hands-On
book

Deep Reinforcement Learning Hands-On

by Oleg Vasilev, Maxim Lapan, Martijn van Otterlo, Mikhail Yurushkin, Basem O. F. Alijla
June 2018
Intermediate to advanced content levelIntermediate to advanced
546 pages
13h 30m
English
Packt Publishing
Content preview from Deep Reinforcement Learning Hands-On

The Bellman equation of optimality

To explain the Bellman equation, it's better to go a bit abstract. Don't be afraid, I'll provide the concrete examples later to support your intuition! Let's start with a deterministic case, when all our actions have a 100% guaranteed outcome. Imagine that our agent observes state The Bellman equation of optimality and has N available actions. Every action leads to another state, The Bellman equation of optimality, with a respective reward, The Bellman equation of optimality. Also assume that we know the values,

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Publisher Resources

ISBN: 9781788834247Supplemental Content