e-ISSN:0976-5166
p-ISSN:2231-3850


INDIAN JOURNAL OF COMPUTER SCIENCE AND ENGINEERING

Call for Papers

Apr 2019 - Volume 10, Issue 2
Deadline: 5 Apr 2019
Notification: 15 Apr 2019
Publication: 30 Apr 2019

June 2019 - Volume 10, Issue 3
Deadline: 5 June 2019
Notification: 15 June 2019
Publication: 30 June 2019

Indexed in

ABSTRACT

Title : REINFORCEMENT LEARNING IN COMPLEX REAL WORLD DOMAINS: A REVIEW
Authors : Samiksha Mahajan
Keywords : Reinforcement Learning, Machine Learning, Large States, Continuous Action Spaces.
Issue Date : Apr-May 2014
Abstract :
Reinforcement Learning is an area of Machine Learning inspired by behaviorist psychology based on the mechanism of learning from rewards. RL does not require prior knowledge and automatically get optimal policy with the help of knowledge obtained by trial-and-error and continuous interaction with the dynamic environment. In complex real world domains implementing RL algorithms is the major practical problem due to the large and continuous space. It can give rise to problems like Curse of Dimensionality, Partial Observability Problem, Credit Structuring Problem, Generalization and Exploration-Exploitation Dilemma. This paper gives an introduction to Reinforcement Learning, discusses its basic model and system structure, and discusses the problems faced while implementing RL algorithms in complex real world domains. At last but not the least this paper briefly describes the techniques which can make the working of RL process easier in the complex domains. It concludes with research scope of RL in complex real world.
Page(s) : 32-40
ISSN : 0976-5166
Source : Vol. 5, No.2