UNSAT Solver Synthesis via Monte Carlo Forest Search

Author:

Cameron Chris,Hartford Jason,Lundy Taylor,Truong Tuan,Milligan Alan,Chen Rex,Leyton-Brown Kevin

Publisher

Springer Nature Switzerland

Reference71 articles.

1. SAT competition. The International SAT Competition Web Page (2002–2024). http://www.satcompetition.org/

2. Abe, K., Xu, Z., Sato, I., Sugiyama, M.: Solving NP-hard problems on graphs by reinforcement learning without domain knowledge. arXiv preprint arXiv:1905.11623, pp. 1–24 (2019)

3. Agostinelli, F., McAleer, S., Shmakov, A., Baldi, P.: Solving the Rubik’s cube with deep reinforcement learning and search. Nat. Mach. Intell. 1(8), 356–363 (2019)

4. Balcan, M.: Data-driven algorithm design. CoRR abs/2011.07177 (2020). https://arxiv.org/abs/2011.07177

5. Lecture Notes in Computer Science;P Baudiš,2012

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