Sariman, C., Hallawa, A., & Schmeink, A. (2025). UR-EARL: A framework for designing underwater robots using evolutionary algorithm-driven reinforcement learning. Ocean engineering, 321, 120402. https://doi.org/10.1016/j.oceaneng.2025.120402
Chicago-Zitierstil (17. Ausg.)Sariman, Cagatay, Ahmed Hallawa, und Anke Schmeink. "UR-EARL: A Framework for Designing Underwater Robots Using Evolutionary Algorithm-driven Reinforcement Learning." Ocean Engineering 321 (2025): 120402. https://doi.org/10.1016/j.oceaneng.2025.120402.
MLA-Zitierstil (9. Ausg.)Sariman, Cagatay, et al. "UR-EARL: A Framework for Designing Underwater Robots Using Evolutionary Algorithm-driven Reinforcement Learning." Ocean Engineering, vol. 321, 2025, p. 120402, https://doi.org/10.1016/j.oceaneng.2025.120402.