A Study On Reinforcement Learning Algorithms for Machine Learning
Author(s):
Dr.R.Basheer Mohamed
Keywords:
Agent, Environment, Action, State, Reward, Policy, Value, Q-value
Abstract
Machine Learning is an indispensable part of Artificial Intelligence. It is the investigation of projects that makes computer to express like humans. Machine learning has come into existence as an important innovation with its adequate number of uses. Reinforcement Learning is one of the major applications of Machine Learning that enables machines and software agents to work explicitly and also resolve the conduct within a definite situation to maximize its performance. Due to the aspect of self-improving, web-based learning and less programming effort Reinforcement Learning becomes an intelligent agent in core technologies. With the advancement of more robust and efficient algorithms, there is still a requirement for more work to be done. Thus, the main aim of this study is to provide the review of Reinforcement Learning and its applications by utilizing various algorithms from Machine learning perspective.
Article Details
Unique Paper ID: 156574

Publication Volume & Issue: Volume 9, Issue 4

Page(s): 181 - 186
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