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arXiv · 2005.09611

Information-Theoretic Abstractions for Planning in Agents with Computational Constraints

Daniel T. Larsson·Dipankar Maity·Panagiotis Tsiotras
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Abstract

In this paper, we develop a framework for path-planning on abstractions that are not provided to the agent a priori but instead emerge as a function of the available computational resources. We show how a path-planning problem in an environment can be systematically approximated by solving a sequence of easier to solve problems on abstractions of the original space. The properties of the problem are analyzed, and a number of theoretical results are presented and discussed. A numerical example is presented to show the utility of the approach and to corroborate the theoretical findings. We conclude by providing a discussion detailing the connections of the proposed approach to anytime algorithms and bounded rationality.

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BibTeXRIS

Daniel T. Larsson, Dipankar Maity, Panagiotis Tsiotras. 2020-05-19. Information-Theoretic Abstractions for Planning in Agents with Computational Constraints. https://doi.org/10.1109/lra.2021.3099995

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