Using deep reinforcement learning to search reachability properties in systems specified through graph transformation
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s00500-022-06815-4.pdf
Reference32 articles.
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3. Bergmann G, et al., (2015) Viatra 3: A reactive model transformation platform. In: international conference on theory and practice of model transformations, 2015: Springer, pp. 101–110. [Online]. Available: https://link.springer.com/chapter/https://doi.org/10.1007/978-3-319-21155-8_8
4. Bertsekas DP (2018) Feature-based aggregation and deep reinforcement learning: a survey and some new implementations. IEEE/CAA J Automatica Sinica 6(1):1–31
5. Corradini A, F. L. Dotti, L. Foss, and L. Ribeiro, (2004) Translating Java code to graph transformation systems. In: international conference on graph transformation, Springer, pp. 383–398. [Online]. Available: https://link.springer.com/chapter/https://doi.org/10.1007/978-3-540-30203-2_27
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