Identifying qualitatively different outcomes of actions: Gaining autonomy through learning

Tim Oates, Matthew D. Schmill, Paul R. Cohen

Research output: Contribution to conferencePaper

7 Scopus citations

Abstract

An unsupervised method for learning models of environmental dynamics based on clustering multivariate time series is presented. Experiments with a Pioneer-1 mobile robot demonstrate the utility of the method. It is shown that the models acquired by the robot correlate surprisingly well with human models of the environment.

Original languageEnglish (US)
Pages110-111
Number of pages2
StatePublished - Dec 3 2000
Event4th International Conference on Autonomous Agents - Barcelona, Spain
Duration: Jun 3 2000Jun 7 2000

Other

Other4th International Conference on Autonomous Agents
CityBarcelona, Spain
Period6/3/006/7/00

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Oates, T., Schmill, M. D., & Cohen, P. R. (2000). Identifying qualitatively different outcomes of actions: Gaining autonomy through learning. 110-111. Paper presented at 4th International Conference on Autonomous Agents, Barcelona, Spain, .