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Home / Proceedings / Proceedings of the International Conference on Automated Planning and Scheduling, 23 / Book One

Trial-Based Heuristic Tree Search for Finite Horizon MDPs

February 1, 2023

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Authors

Thomas Keller,Malte Helmert

University of Freiburg,University of Basel


DOI:

10.1609/icaps.v23i1.13557


Abstract:

Dynamic programming is a well-known approach for solving MDPs. In large state spaces, asynchronous versions like Real-Time Dynamic Programming have been applied successfully. If unfolded into equivalent trees, Monte-Carlo Tree Search algorithms are a valid alternative. UCT, the most popular representative, obtains good anytime behavior by guiding the search towards promising areas of the search tree. The Heuristic Search algorithm AO∗ finds optimal solutions for MDPs that can be represented as acyclic AND/OR graphs. We introduce a common framework, Trial-based Heuristic Tree Search, that subsumes these approaches and distinguishes them based on five ingredients: heuristic function, backup function, action selection, outcome selection, and trial length. Using this framework, we describe three new algorithms which mix these ingredients in novel ways in an attempt to combine their different strengths. Our evaluation shows that two of our algorithms not only provide superior theoretical properties to UCT, but also outperform state-of-the-art approaches experimentally.

Topics: ICAPS

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HOW TO CITE:

Thomas Keller,Malte Helmert Trial-Based Heuristic Tree Search for Finite Horizon MDPs Proceedings of the International Conference on Automated Planning and Scheduling, 23 (2013) 135-143.

Thomas Keller,Malte Helmert Trial-Based Heuristic Tree Search for Finite Horizon MDPs ICAPS 2013, 135-143.

Thomas Keller,Malte Helmert (2013). Trial-Based Heuristic Tree Search for Finite Horizon MDPs. Proceedings of the International Conference on Automated Planning and Scheduling, 23, 135-143.

Thomas Keller,Malte Helmert. Trial-Based Heuristic Tree Search for Finite Horizon MDPs. Proceedings of the International Conference on Automated Planning and Scheduling, 23 2013 p.135-143.

Thomas Keller,Malte Helmert. 2013. Trial-Based Heuristic Tree Search for Finite Horizon MDPs. "Proceedings of the International Conference on Automated Planning and Scheduling, 23". 135-143.

Thomas Keller,Malte Helmert. (2013) "Trial-Based Heuristic Tree Search for Finite Horizon MDPs", Proceedings of the International Conference on Automated Planning and Scheduling, 23, p.135-143

Thomas Keller,Malte Helmert, "Trial-Based Heuristic Tree Search for Finite Horizon MDPs", ICAPS, p.135-143, 2013.

Thomas Keller,Malte Helmert. "Trial-Based Heuristic Tree Search for Finite Horizon MDPs". Proceedings of the International Conference on Automated Planning and Scheduling, 23, 2013, p.135-143.

Thomas Keller,Malte Helmert. "Trial-Based Heuristic Tree Search for Finite Horizon MDPs". Proceedings of the International Conference on Automated Planning and Scheduling, 23, (2013): 135-143.

Thomas Keller,Malte Helmert. Trial-Based Heuristic Tree Search for Finite Horizon MDPs. ICAPS[Internet]. 2013[cited 2023]; 135-143.


ISSN: 2334-0843


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