Elaboration Tolerant Representation of Markov Decision Process via Decision-Theoretic Extension of Probabilistic Action Language $$p\mathcal{BC}{+}$$-Reference-Cited by-同舟云学术

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Elaboration Tolerant Representation of Markov Decision Process via Decision-Theoretic Extension of Probabilistic Action Language $$p\mathcal{BC}{+}$$

Published:2019 Issue: Volume: Page:224-238
ISSN:0302-9743
Container-title:Logic Programming and Nonmonotonic Reasoning
language:
Short-container-title:

Author:

Wang Yi,Lee Joohyung

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-20528-7_17

Reference19 articles.

1. Babb, J., Lee, J.: Action language $$\cal{BC}$$ +. J. Log. Comput. exv062 (2015). https://doi.org/10.1093/logcom/exv062

2. Baral, C., Gelfond, M., Rushton, J.N.: Probabilistic reasoning with answer sets. Theory Pract. Log. Program. 9(1), 57–144 (2009)

3. Bellman, R.: A markovian decision process. Indiana Univ. Math. J. 6, 679–684 (1957)

4. Ferreira, L.A., Bianchi, R.A.C., Santos, P.E., de Mantaras, R.L.: Answer set programming for non-stationary Markov decision processes. Appl. Intell. 47(4), 993–1007 (2017)

5. Gelfond, M., Lifschitz, V.: Representing action and change by logic programs. J. Log. Program. 17, 301–322 (1993)

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1. Statistical Relational Extension of Answer Set Programming;Reasoning Web. Causality, Explanations and Declarative Knowledge;2023

2. Answer Set Planning: A Survey;Theory and Practice of Logic Programming;2022-04-01

3. Bridging Commonsense Reasoning and Probabilistic Planning via a Probabilistic Action Language;Theory and Practice of Logic Programming;2019-09

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