View Publication

Reinforcement Learning for 3 vs. 2 Keepaway

Peter Stone, Department of Computer Sciences, The University of Texas at Austin
Richard S. Sutton, Department of Computing Science, University of Alberta
Satinder Singh, University of Michigan, Ann Arbor, MI

As a sequential decision problem, robotic soccer can benefit from research in reinforcement learning. We introduce the 3 vs. 2 keepaway domain, a subproblem of robotic soccer implemented in the RoboCup soccer server. We then explore reinforcement learning methods for policy evaluation and action selection in this distributed, real-time, partially observable, noisy domain. We present empirical results demonstrating that a learned policy can dramatically outperform hand-coded policies.

Citation

P. Stone, R. Sutton, S. Singh. "Reinforcement Learning for 3 vs. 2 Keepaway". RoboCup, January 2001.

Keywords:	sequential, domain, soccer, machine learning
Category:	In Workshop

BibTeX

@misc{Stone+al:RoboCup01,
  author = {Peter Stone and Richard S. Sutton and Satinder Singh},
  title = {Reinforcement Learning for 3 vs. 2 Keepaway},
  booktitle = {},
  year = 2001,
}

Last Updated: January 04, 2007
Submitted by Christian Smith

Not Logged In

PapersDB

Reinforcement Learning for 3 vs. 2 Keepaway

Citation

BibTeX