Skip to Main Content
 

Global Search Box

 
 
 
 

Files

File List


Thesis.pdf (954.98 KB)

ETD Abstract Container

Abstract Header

Massively Parallel Reinforcement Learning With an Application to Video Games

Goeringer, Tyler
http://rave.ohiolink.edu/etdc/view?acc_num=case1373073319

Abstract Details

2013, Master of Sciences, Case Western Reserve University, EECS - Computer and Information Sciences.
We propose a framework for periodic policy updates of computer controlled agents in an interactive scenario. We use the graphics processing unit (GPU) to accelerate an offline reinforcement learning algorithm which periodically updates an online agent's policy. The main contributions of this work are the use of GPU acceleration combined with a periodic update model to provide reinforcement learning in a performance constrained environment. We show empirically that given certain environment properties, the GPU accelerated implementation provides better performance than a traditional implementation utilizing the central processing unit (CPU). In addition, we show that while an online machine learning algorithm can function in some performance constrained environments, an offline algorithm reduces the performance constraints allowing for application to a wider variety of environments. Finally, we demonstrate combining these techniques to control an agent in the world of Quake III Arena, resulting in a computer controlled agent capable of adapting to different opponents.
Soumya Ray (Advisor)
Swarup Bhunia (Committee Member)
Michael Lewicki (Committee Member)
Frank Merat (Committee Member)
59 p.
Computer Science
gpu; artificial intelligence; parallel programming; reinforcement learning; machine learning; least-squares policy iteration; lspi; quake iii

Recommended Citations

Citations

  • Goeringer, T. (2013). Massively Parallel Reinforcement Learning With an Application to Video Games [Master's thesis, Case Western Reserve University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=case1373073319

    APA Style (7th edition)

  • Goeringer, Tyler. Massively Parallel Reinforcement Learning With an Application to Video Games. 2013. Case Western Reserve University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=case1373073319.

    MLA Style (8th edition)

  • Goeringer, Tyler. "Massively Parallel Reinforcement Learning With an Application to Video Games." Master's thesis, Case Western Reserve University, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=case1373073319

    Chicago Manual of Style (17th edition)

case1373073319
1,129
© 2013, some rights reserved.Creative Commons License Massively Parallel Reinforcement Learning With an Application to Video Games by Tyler Goeringer is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License. Based on a work at etd.ohiolink.edu.
This open access ETD is published by Case Western Reserve University School of Graduate Studies and OhioLINK.