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RPL-LEARN: Extending an Autonomous Robot Control Language to Perform Experience-based Learning (bibtex)
@INPROCEEDINGS{beetz_rpl-learn:_2004,
  author = {Beetz, Michael and Kirsch, Alexandra and Müller, Armin},
  title = {{RPL-LEARN:} Extending an Autonomous Robot Control Language to Perform
	Experience-based Learning},
  booktitle = {3rd International Joint Conference on Autonomous Agents \& Multi
	Agent Systems ({AAMAS)}},
  year = {2004},
  abstract = {In this paper, we extend the autonomous robot control and plan language
	{RPL} with constructs for specifying experiences, control tasks,
	learning systems and their parameterization, and exploration strategies.
	Using these constructs, the learning problems can be represented
	explicitly and transparently and become executable. With the extended
	language we rationally reconstruct parts of the {AGILO} autonomous
	robot soccer controllers and show the feasibility and advantages
	of our approach.}
}
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Last edited 29.01.2013 17:37 by Quirin Lohr