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Adaptive planning in unknown environments using grammatical Inference

  • University of Delaware

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

9 Scopus citations

Abstract

This paper presents a framework that integrates grammatical inference with symbolic control on finite-state transition systems interacting with partially unknown, adversarial, rule-governed environments. We model the interaction between a system and its environment as a two-player zero-sum game on graphs. We show that with some prior knowledge of the environment, the system can autonomously infer a game equivalent to the one actually being played and thus successively adapt its control strategy in polynomial time, and evolve its controller into one that ensures the completion of the desired task, whenever such a completion is possible.

Original languageEnglish
Title of host publication2013 IEEE 52nd Annual Conference on Decision and Control, CDC 2013
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages5357-5363
Number of pages7
ISBN (Print)9781467357173
DOIs
StatePublished - 2013
Event52nd IEEE Conference on Decision and Control, CDC 2013 - Florence, Italy
Duration: Dec 10 2013Dec 13 2013

Publication series

NameProceedings of the IEEE Conference on Decision and Control
ISSN (Print)0743-1546
ISSN (Electronic)2576-2370

Conference

Conference52nd IEEE Conference on Decision and Control, CDC 2013
Country/TerritoryItaly
CityFlorence
Period12/10/1312/13/13

Keywords

  • Discrete event systems
  • Grammatical inference
  • Symbolic control
  • System identification

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