Q-Tree Search: An Information-Theoretic Approach Toward Hierarchical Abstractions for Agents With Computational Limitations

In this article, we develop a framework to obtain graph abstractions for decision-making where the abstractions emerge as a function of the agent's available resources. We discuss the connection of the proposed approach with information-theoretic signal compression and formulate a novel optimiz...

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Veröffentlicht in:	IEEE transactions on robotics 2020-12, Vol.36 (6), p.1669-1685
Hauptverfasser:	Larsson, Daniel T., Maity, Dipankar, Tsiotras, Panagiotis
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Decision making Graph trees hierarchical abstractions Information theory Optimization Planning state aggregation Tree data structures
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