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  1. Jul 15, 2024Monte Carlo tree search (MCTS) is one of the most capable online search algorithms for sequential planning tasks, with significant applications in areas such as resource allocation and transit planning. Despite its strong performance in real-world deployment, the inherent complexity of MCTS makes it challenging to understand for users without technical background. This paper considers the use ...
  2. research.tue.nl

    Enabling MCTS Explainability for Sequential Planning Through Computation Tree Logic Citation for published version (APA): An, Z., Baier, H., Dubey, A., Mukhopadhyay, A., & Ma, M. (2024). Enabling MCTS Explainability for Sequential ... • A submitted manuscript is the version of the article upon submission and before peer-review. There can be
  3. research.tue.nl

    An, Z, Baier, H, Dubey, A, Mukhopadhyay, A & Ma, M 2024, Enabling MCTS Explainability for Sequential Planning Through Computation Tree Logic. in U Endris, FS Melo, K Bach, A Bugarín-Diz, JM Alonso-Moral, S Barro & F Heintz (eds), ECAI 2024: 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain ...
  4. ebooks.iospress.nl

    Enabling MCTS Explainability for Sequential Planning Through Computation Tree Logic. Authors. Ziyan An, Hendrik Baier, Abhishek Dubey, Ayan Mukhopadhyay, Meiyi Ma ... Abstract. Monte Carlo tree search (MCTS) is one of the most capable online search algorithms for sequential planning tasks, with significant applications in areas such as resource ...
  5. Enabling MCTS Explainability for Sequential Planning Through Computation Tree Logic. ... To address this critical research gap, we introduce a novel computation tree logic-based explainer for MCTS. Our framework begins by taking user-defined requirements and translating them into rigorous logic specifications through the use of language templates.
  6. semanticscholar.org

    Jul 15, 2024This paper considers the use of MCTS in transportation routing services, where the algorithm is integrated to develop optimized route plans, and introduces a novel computation tree logic-based explainer for MCTS. Monte Carlo tree search (MCTS) is one of the most capable online search algorithms for sequential planning tasks, with significant applications in areas such as resource allocation ...
  7. researchgate.net

    Jul 15, 2024Enabling MCTS Explainability for Sequential Planning Through Computation T ree Logic Ziyan An a , Hendrik Baier b , Abhishek Dubey a , A yan Mukhopadhyay a and Meiyi Ma a
  8. research.tue.nl

    Enabling MCTS Explainability for Sequential Planning Through Computation Tree Logic. Ziyan An, Hendrik Baier, Abhishek Dubey, Ayan ... Vingerafdruk; Samenvatting. Monte Carlo tree search (MCTS) is one of the most capable online search algorithms for sequential planning tasks, with significant applications in areas such as resource allocation ...
  9. export.arxiv.org

    Jul 15, 2024Abstract: Monte Carlo tree search (MCTS) is one of the most capable online search algorithms for sequential planning tasks, with significant applications in areas such as resource allocation and transit planning. Despite its strong performance in real-world deployment, the inherent complexity of MCTS makes it challenging to understand for users without technical background.
  10. paperswithcode.com

    Jul 15, 2024Enabling MCTS Explainability for Sequential Planning Through Computation Tree Logic 15 Jul 2024 ... To address this critical research gap, we introduce a novel computation tree logic-based explainer for MCTS. Our framework begins by taking user-defined requirements and translating them into rigorous logic specifications through the use of ...

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