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Common challenges of deep reinforcement learning applications development: an empirical study., , , , и . Empir. Softw. Eng., 29 (4): 95 (июля 2024)How to Certify Machine Learning Based Safety-critical Systems? A Systematic Literature Review., , , , , , , , , и . CoRR, (2021)Bugs in Large Language Models Generated Code: An Empirical Study., , , , , и . CoRR, (2024)Mutation Testing of Deep Reinforcement Learning Based on Real Faults., , , , и . ICST, стр. 188-198. IEEE, (2023)Deep Learning Model Reuse in the HuggingFace Community: Challenges, Benefit and Trends., , , , и . SANER, стр. 512-523. IEEE, (2024)How to certify machine learning based safety-critical systems? A systematic literature review., , , , , , , , , и . Autom. Softw. Eng., 29 (2): 38 (2022)Chain of Targeted Verification Questions to Improve the Reliability of Code Generated by LLMs., , , и . AIware, ACM, (2024)A Probabilistic Framework for Mutation Testing in Deep Neural Networks., , и . CoRR, (2022)Common Challenges of Deep Reinforcement Learning Applications Development: An Empirical Study., , , , и . CoRR, (2023)Assessing Programming Task Difficulty for Efficient Evaluation of Large Language Models., , , и . CoRR, (2024)