Tappler, M., Pferscher, A., Aichernig, B. K., & Konighofer, B. (2024, April 14). Learning and Repair of Deep Reinforcement Learning Policies from Fuzz-Testing Data. Proceedings / International Conference on Software Engineering, 38-50. https://doi.org/10.1145/3597503.3623311
Chicago-Zitierstil (17. Ausg.)Tappler, Martin, Andrea Pferscher, Bernhard K. Aichernig, und Bettina Konighofer. "Learning and Repair of Deep Reinforcement Learning Policies from Fuzz-Testing Data." Proceedings / International Conference on Software Engineering 14 Apr. 2024: 38-50. https://doi.org/10.1145/3597503.3623311.
MLA-Zitierstil (9. Ausg.)Tappler, Martin, et al. "Learning and Repair of Deep Reinforcement Learning Policies from Fuzz-Testing Data." Proceedings / International Conference on Software Engineering, 14 Apr. 2024, pp. 38-50, https://doi.org/10.1145/3597503.3623311.