Cart (Loading....) | Create Account
Close category search window

Research and Application of Reinforcement Learning Based on Constraint MDP in Coal Mine

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Zhao Xiao-hu ; Coll. of Inf. & Electr., China Univ. of Min. & Technol., Xuzhou, China ; Zhao Ke-ke ; Wang Qing-qing ; Ma Fang-qing

Reinforcement learning is an algorithm without model which is learning what to do--how to map situations to actions-so as to maximize a numerical reward signal. Reinforcement learning provides an available method to the systems, which are very difficult to build up accurate models around complex environment. But now many practical problems demand a maximum reward with not much cost (expense). For example, the production of coal mine is closely correlated with security in that it increases production in the limited range of security situation. On the base of Markov decision process (MDP) and reinforcement learning, the paper introduced constraint Markov decision process into reinforcement learning. The paper improved Q-learning algorithm with adding cost factor and gave a new Q-learning algorithm based on constraint MDP. Finally, according to the constraint between production and safety in coal mine, the paper made the simulation investigation about the action control of coal shearer in coal mine working face. The simulation result had verified the validity of the method.

Published in:

Computer Science and Information Engineering, 2009 WRI World Congress on  (Volume:4 )

Date of Conference:

March 31 2009-April 2 2009

Need Help?

IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.