Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3 (AAMAS'04) RPLLEARN: Extending an Autonomous Robot Control Language to Perform New York City, New York, USA July 19-July 23 ISBN: 0-7695-2092-8
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.
Citation:
Michael Beetz, Alexandra Kirsch, Armin Müller, "RPLLEARN: Extending an Autonomous Robot Control Language to Perform," aamas, vol. 3, pp.1022-1029, Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3 (AAMAS'04), 2004 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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