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Document Type : Latin Dissertation
Language of Document : English
Record Number : 150998
Doc. No : ET22790
Main Entry : Rajbala Makar
Title Proper : HIER-~RCHICAL W~ULTI AGENT REINFORCEMENT LEARNING
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : Reinforcement Learning has been extensively studied as a generalized approachfor sequential decision n~aking problems involving actions of a single agent. Hcnce.single agent learning and the challenges and issues involved are very well understood.Recent focus has been on co-operative multi agent learning as that opens up a wholenew dirncnsion to machine learning and the type of problems it can be used for. Thecomplesity introduced as a result of having a number of agents is a major deterrent forfornlulatiori of machine learning problems with multiple agents. Hierarchical learningmakes it easier to solve large problems b5- taking advantage of abstraction. This workfocuses on applying a hierarchical reinforcement learning approach to multi agent..,....-...,..tested for theQ1 PC1 bus cardBoth these projects mere sofixare des elopment efforts tonards contributing to dlfferentaspects of Roboucs and lZ1echatronics projects m the Controls and Roboucs Group..
Subject : Electericl tess
: برق
electronic file name : TL46016.pdf
Title and statement of responsibility and : HIER-~RCHICAL W~ULTI AGENT REINFORCEMENT LEARNING [Thesis]
 
 
 
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