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Conduct in-depth literature research and selectively implement existing approaches in the field of reinforcement and imitation learning; extend established methods and ideas to create innovative solutions that go beyond mere reimplementation; explore the generation of multi-step models using reinforcement learning to optimize algorithms for use in vehicles; combine reinforcement learning, particularly single-step models, with imitation learning to generate precise trajectories for autonomous driving functions; carefully document research findings and prepare them for scientific publication.