Gjærum, V. B., Strümke, I., Løver, J., Miller, T., & Lekkas, A. M. (2023). Model tree methods for explaining deep reinforcement learning agents in real-time robotic applications. Neurocomputing (Amsterdam), 515, 133-144. https://doi.org/10.1016/j.neucom.2022.10.014
Chicago-Zitierstil (17. Ausg.)Gjærum, Vilde B., Inga Strümke, Jakob Løver, Timothy Miller, und Anastasios M. Lekkas. "Model Tree Methods for Explaining Deep Reinforcement Learning Agents in Real-time Robotic Applications." Neurocomputing (Amsterdam) 515 (2023): 133-144. https://doi.org/10.1016/j.neucom.2022.10.014.
MLA-Zitierstil (9. Ausg.)Gjærum, Vilde B., et al. "Model Tree Methods for Explaining Deep Reinforcement Learning Agents in Real-time Robotic Applications." Neurocomputing (Amsterdam), vol. 515, 2023, pp. 133-144, https://doi.org/10.1016/j.neucom.2022.10.014.