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Cognitive Analytics and Reinforcement Learning
book

Cognitive Analytics and Reinforcement Learning

by R. Elakkiya, Subramaniyaswamy V.
May 2024
Intermediate to advanced content levelIntermediate to advanced
384 pages
10h 26m
English
Wiley-Scrivener
Content preview from Cognitive Analytics and Reinforcement Learning

6Reinforcement Learning for Demand Forecasting and Customized Services

Sini Raj Pulari1, T. S. Murugesh2*, Shriram K. Vasudevan3 and Akshay Bhuvaneswari Ramakrishnan4

1Bahrain Polytechnic, ISA Town, Bahrain

2Department of Electronics and Communication Engineering, Government College of Engineering Srirangam, Tiruchirappalli, Tamil Nadu, India (On Deputation from Annamalai University, Department of Electronics and Instrumentation Engineering, Faculty of Engineering & Technology, India)

3Lead Technical – Evangelist (Asia Pacific and Japan), Intel India Pvt. Ltd., Bengaluru, Karnataka, India

4Department of Computer Science and Engineering, Sastra Deemed to be University, SASTRA University Thanjavur Campus, Thanjavur, Tamil Nadu, India

Abstract

Reinforcement Learning (RL) is a strong way for machines to learn that has shown promise in areas like predicting demand and providing personalized services. This chapter investigates how strategies based on RL can improve the accuracy of demand forecasting and make it possible for businesses to provide individualized services to each of its clients. The principles of RL, its use in demand forecasting, and the implementation of individualized services are covered extensively as key components of the topic. A real-life case study of a large retail chain highlights the practical benefits of applying RL in optimizing inventory management and providing individualized product recommendations. Researchers at the University of California, Berkeley, ...

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Publisher Resources

ISBN: 9781394214037Purchase Link