Abstract
In this paper a new algorithm is provided for obtaining approximately optimal policies for infinite-horizon discounted Markov decision processes. In addition, some of the properties of the algorithm are established. The algorithm is based upon the fact that the optimal value function is the unique vector minimum function within the superharmonic set.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
