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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence / EAAI-20

Real-Time Planning as Decision-Making under Uncertainty

February 1, 2023

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Authors

Andrew Mitchell

University of New Hampshire


Wheeler Ruml

University of New Hampshire


Fabian Spaniol

Saarland University


Jorg Hoffmann

Saarland University


Marek Petrik

University of New Hampshire


DOI:

10.1609/aaai.v33i01.33012338


Abstract:

In real-time planning, an agent must select the next action to take within a fixed time bound. Many popular real-time heuristic search methods approach this by expanding nodes using time-limited A* and selecting the action leading toward the frontier node with the lowest f value. In this paper, we reconsider real-time planning as a problem of decision-making under uncertainty. We propose treating heuristic values as uncertain evidence and we explore several backup methods for aggregating this evidence. We then propose a novel lookahead strategy that expands nodes to minimize risk, the expected regret in case a non-optimal action is chosen. We evaluate these methods in a simple synthetic benchmark and the sliding tile puzzle and find that they outperform previous methods. This work illustrates how uncertainty can arise even when solving deterministic planning problems, due to the inherent ignorance of time-limited search algorithms about those portions of the state space that they have not computed, and how an agent can benefit from explicitly metareasoning about this uncertainty.

Topics: AAAI

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HOW TO CITE:

Andrew Mitchell||Wheeler Ruml||Fabian Spaniol||Jorg Hoffmann||Marek Petrik Real-Time Planning as Decision-Making under Uncertainty Proceedings of the AAAI Conference on Artificial Intelligence (2019) 2338-2345.

Andrew Mitchell||Wheeler Ruml||Fabian Spaniol||Jorg Hoffmann||Marek Petrik Real-Time Planning as Decision-Making under Uncertainty AAAI 2019, 2338-2345.

Andrew Mitchell||Wheeler Ruml||Fabian Spaniol||Jorg Hoffmann||Marek Petrik (2019). Real-Time Planning as Decision-Making under Uncertainty. Proceedings of the AAAI Conference on Artificial Intelligence, 2338-2345.

Andrew Mitchell||Wheeler Ruml||Fabian Spaniol||Jorg Hoffmann||Marek Petrik. Real-Time Planning as Decision-Making under Uncertainty. Proceedings of the AAAI Conference on Artificial Intelligence 2019 p.2338-2345.

Andrew Mitchell||Wheeler Ruml||Fabian Spaniol||Jorg Hoffmann||Marek Petrik. 2019. Real-Time Planning as Decision-Making under Uncertainty. "Proceedings of the AAAI Conference on Artificial Intelligence". 2338-2345.

Andrew Mitchell||Wheeler Ruml||Fabian Spaniol||Jorg Hoffmann||Marek Petrik. (2019) "Real-Time Planning as Decision-Making under Uncertainty", Proceedings of the AAAI Conference on Artificial Intelligence, p.2338-2345

Andrew Mitchell||Wheeler Ruml||Fabian Spaniol||Jorg Hoffmann||Marek Petrik, "Real-Time Planning as Decision-Making under Uncertainty", AAAI, p.2338-2345, 2019.

Andrew Mitchell||Wheeler Ruml||Fabian Spaniol||Jorg Hoffmann||Marek Petrik. "Real-Time Planning as Decision-Making under Uncertainty". Proceedings of the AAAI Conference on Artificial Intelligence, 2019, p.2338-2345.

Andrew Mitchell||Wheeler Ruml||Fabian Spaniol||Jorg Hoffmann||Marek Petrik. "Real-Time Planning as Decision-Making under Uncertainty". Proceedings of the AAAI Conference on Artificial Intelligence, (2019): 2338-2345.

Andrew Mitchell||Wheeler Ruml||Fabian Spaniol||Jorg Hoffmann||Marek Petrik. Real-Time Planning as Decision-Making under Uncertainty. AAAI[Internet]. 2019[cited 2023]; 2338-2345.


ISSN: 2374-3468


Published by AAAI Press, Palo Alto, California USA
Copyright 2022, Association for the Advancement of
Artificial Intelligence 1900 Embarcadero Road, Suite
101, Palo Alto, California 94303 All Rights Reserved

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