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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

N-step DQN

The first improvement that we'll implement and evaluate is quite an old one. It was first introduced in the paper by Richard Sutton ([2] Sutton, 1988). To get the idea, let's look at the Bellman update used in Q-learning once again.

N-step DQN

This equation is recursive, which means that we can express N-step DQN in terms of itself, which gives us this result:

N-step DQN

Value ra,t+1 means local reward at time t+1, after issuing action a. However, if we assume that our action ...

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Publisher Resources

ISBN: 9781788834247Supplemental Content