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Does Neuron Coverage Matter for Deep Reinforcement Learning?: A Preliminary Study., , , , и . ICSE (Workshops), стр. 215-220. ACM, (2020)NGSEP3: accurate variant calling across species and sequencing protocols., , , , , и . Bioinform., 35 (22): 4716-4723 (2019)A taxonomy of context-aware software variability approaches., , , и . MODULARITY (Companion), стр. 119-124. ACM, (2016)A Context-Oriented Software Architecture., , и . COP@ECOOP, стр. 7-12. ACM, (2016)Context Slices: Lightweight discovery of behavioral adaptations., и . COP@ECOOP, стр. 2:1-2:6. ACM, (2015)Towards the Identification of Concept Prerequisites Via Knowledge Graphs., , , , и . ICALT, стр. 332-336. IEEE, (2019)Constructivist Approach to State Space Adaptation in Reinforcement Learning., , и . SASO, стр. 52-61. IEEE, (2019)Learning Recovery Strategies for Dynamic Self-healing in Reactive Systems., , и . SEAMS@ICSE, стр. 133-142. ACM, (2024)Emergent software services.. Onward!, стр. 15-28. ACM, (2016)Adaptation to Unknown Situations as the Holy Grail of Learning-Based Self-Adaptive Systems: Research Directions., и . SEAMS@ICSE, стр. 252-253. IEEE, (2021)