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You're reading from  Reinforcement Learning with TensorFlow

Product typeBook
Published inApr 2018
Reading LevelIntermediate
PublisherPackt
ISBN-139781788835725
Edition1st Edition
Languages
Python
Tools
TensorFlow
Concepts
Reinforcement Learning
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Author (1)
Sayon Dutta
Sayon Dutta
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Sayon Dutta

Sayon Dutta is an Artificial Intelligence researcher and developer. A graduate from IIT Kharagpur, he owns the software copyright for Mobile Irrigation Scheduler. At present, he is an AI engineer at Wissen Technology. He co-founded an AI startup Marax AI Inc., focused on AI-powered customer churn prediction. With over 2.5 years of experience in AI, he invests most of his time implementing AI research papers for industrial use cases, and weightlifting.
Read more about Sayon Dutta

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Temporal difference rule

Firstly, temporal difference (TD) is the difference of the value estimates between two time steps. It is different from the outcome-based Monte Carlo approach where a full look ahead till the end of the episode is done in order to update the learning parameters. In case of temporal difference learning, only one step look ahead is done and a value estimate of the state at the next step is used to update the current state's value estimate. Thus, learning parameters update along the way. Different rules to approach temporal difference learning are the TD(1), TD(0), and TD(

) rules. The basic notion in all the approaches is that the value estimate of the next step is used to update the current state's value estimate.

TD(1) rule

TD(1) incorporates the concept of eligibility trace. Let's go through the pseudo code of the approach and then we will discuss it in detail:

Episode T
    For all s, At the start of the episode : e(s) = 0 and 

        After 
 : (at step t)



     ...
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Reinforcement Learning with TensorFlow
Published in: Apr 2018Publisher: PacktISBN-13: 9781788835725
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Author (1)

author image
Sayon Dutta

Sayon Dutta is an Artificial Intelligence researcher and developer. A graduate from IIT Kharagpur, he owns the software copyright for Mobile Irrigation Scheduler. At present, he is an AI engineer at Wissen Technology. He co-founded an AI startup Marax AI Inc., focused on AI-powered customer churn prediction. With over 2.5 years of experience in AI, he invests most of his time implementing AI research papers for industrial use cases, and weightlifting.
Read more about Sayon Dutta

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