Machine Learning-Based Restart Policy for CDCL SAT Solvers

Author:

Liang Jia Hui,Oh Chanseok,Mathew Minu,Thomas Ciza,Li Chunxiao,Ganesh Vijay

Publisher

Springer International Publishing

Reference30 articles.

1. MLR source code. https://sites.google.com/a/gsd.uwaterloo.ca/maplesat/mlr

2. Lecture Notes in Computer Science;A Atserias,2009

3. Audemard, G., Simon, L.: Predicting learnt clauses quality in modern SAT solvers. In: Proceedings of the 21st International Joint Conference on Artificial Intelligence, IJCAI 2009, pp. 399–404. Morgan Kaufmann Publishers Inc., San Francisco (2009)

4. Lecture Notes in Computer Science;G Audemard,2012

5. Audemard, G., Simon, L.: Glucose and syrup in the SAT17. In: Proceedings of SAT Competition 2017: Solver and Benchmark Descriptions, pp. 16–17 (2017)

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