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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment

Deep Learning for Real-Time Heuristic Search Algorithm Selection

February 1, 2023

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Authors

Devon Sigurdson,Vadim Bulitko

University of Alberta,University of Alberta


DOI:

10.1609/aiide.v13i1.12927


Abstract:

Real-time heuristic search algorithms are used for creating agents that rely on local information and move in a bounded amount of time making them an excellent candidate for video games as planning time can be controlled. Path finding on video game maps has become the de facto standard for evaluating real-time heuristic search algorithms. Over the years researchers have worked to identify areas where these algorithms perform poorly in an attempt to mitigate their weaknesses. Recent work illustrates the benefits of tailoring algorithms for a given problem as performance is heavily dependent on the search space. In order to determine which algorithm to select for solving the search problems on a map the developer would have to run all the algorithms in consideration to obtain the correct choice. Our work extends the previous algorithm selection approach to use a deep learning classifier to select the algorithm to use on new maps without having to evaluate the algorithms on the map. To do so we select a portfolio of algorithms and train a classifier to predict which portfolio member to use on a unseen new map. Our empirical results show that selecting algorithms dynamically can outperform the single best algorithm from the portfolio on new maps, as well provide the lower bound for potential improvements to motivate further work on this approach.

Topics: AIIDE

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HOW TO CITE:

Devon Sigurdson,Vadim Bulitko Deep Learning for Real-Time Heuristic Search Algorithm Selection Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (2017) 108-114.

Devon Sigurdson,Vadim Bulitko Deep Learning for Real-Time Heuristic Search Algorithm Selection AIIDE 2017, 108-114.

Devon Sigurdson,Vadim Bulitko (2017). Deep Learning for Real-Time Heuristic Search Algorithm Selection. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 108-114.

Devon Sigurdson,Vadim Bulitko. Deep Learning for Real-Time Heuristic Search Algorithm Selection. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment 2017 p.108-114.

Devon Sigurdson,Vadim Bulitko. 2017. Deep Learning for Real-Time Heuristic Search Algorithm Selection. "Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment". 108-114.

Devon Sigurdson,Vadim Bulitko. (2017) "Deep Learning for Real-Time Heuristic Search Algorithm Selection", Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, p.108-114

Devon Sigurdson,Vadim Bulitko, "Deep Learning for Real-Time Heuristic Search Algorithm Selection", AIIDE, p.108-114, 2017.

Devon Sigurdson,Vadim Bulitko. "Deep Learning for Real-Time Heuristic Search Algorithm Selection". Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2017, p.108-114.

Devon Sigurdson,Vadim Bulitko. "Deep Learning for Real-Time Heuristic Search Algorithm Selection". Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, (2017): 108-114.

Devon Sigurdson,Vadim Bulitko. Deep Learning for Real-Time Heuristic Search Algorithm Selection. AIIDE[Internet]. 2017[cited 2023]; 108-114.


ISSN: 2334-0924


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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