Optimization Algorithms for Deterministic, Stochastic and Reinforcement Learning Settings

Optimization Algorithms for Deterministic, Stochastic and Reinforcement Learning Settings

Optimization is a very important field with diverse applications in physical, social and biological sciences and in various areas of engineering. It appears widely in ma-chine learning, information retrieval, regression, estimation, operations research and a wide variety of computing domains. The su...

Full description

Bibliographic Details
Main Author: Joseph, Ajin George
Other Authors: Bhatnagar, Shalabh
Language:en_US
Published: 2018
Subjects:
Optimization Algorithms
Reinforcement Learning
Machine Learning
Markov Decision Process
Stochastic Approximation Algorithm
Stochastic Optimization
Cross Entropy Method
Stochastic Global Optimization
Cross Entropy Optimization Method
Quantile Estimation
Continuous Optimization
Computer Science
Online Access:http://etd.iisc.ernet.in/2005/3645
http://etd.iisc.ernet.in/abstracts/4515/G28470-Abs.pdf

Internet

http://etd.iisc.ernet.in/2005/3645
http://etd.iisc.ernet.in/abstracts/4515/G28470-Abs.pdf

Similar Items