Search

Navigator: RI | Publications | Reinforcement Learning Through Gradient Descent

Graphics enhanced version of this site

Reinforcement Learning Through Gradient Descent
L. Baird
doctoral dissertation, tech. report CMU-CS-99-132, Computer Science Department, Carnegie Mellon University, May, 1999.

Jump to: Download | Notes | Text Reference | BibTeX Reference


Download [Help]

Adobe portable document format (pdf) [244 KB]
Compressed postscript (ps.gz) [301 KB]

Copyright notice: This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.


Notes

Associated lab/group: Auton Lab
Associated project: Auton Project


Text Reference

L. Baird, Reinforcement Learning Through Gradient Descent, doctoral dissertation, tech. report CMU-CS-99-132, Computer Science Department, Carnegie Mellon University, May, 1999.


BibTeX Reference

@phdthesis{Baird_1999_3128,
   author = "Leemon Baird",
   title = "Reinforcement Learning Through Gradient Descent",
   school = "Computer Science Department, Carnegie Mellon University",
   month = "May",
   year = "1999",
   address = "Pittsburgh, PA"
}


The Robotics Institute is part of the School of Computer Science, Carnegie Mellon University.
For updates and comments, please see these instructions.
This page maintained by robotwebmaster@ri.cmu.edu