Ibrahim, A., Derkach, D., Petrenko, A., Ratnikov, F., & Kaledin, M. (2025). Optimization of the Accelerator Control by Reinforcement Learning: A Simulation-Based Approach. Physics of Particles and Nuclei, 56(6), 1476-1481. https://doi.org/10.1134/s1063779625700716

IBRAHIM, A., DERKACH, D., PETRENKO, A., RATNIKOV, F. und KALEDIN, M., 2025. Optimization of the Accelerator Control by Reinforcement Learning: A Simulation-Based Approach. Physics of Particles and Nuclei. 1 Dezember 2025. Vol. 56, no. 6, p. 1476-1481. DOI 10.1134/s1063779625700716.

Ibrahim, A., D. Derkach, A. Petrenko, F. Ratnikov, und M. Kaledin. „Optimization of the Accelerator Control by Reinforcement Learning: A Simulation-Based Approach“. Physics of Particles and Nuclei, Bd. 56, Nr. 6, Dezember 2025, S. 1476-81, https://doi.org/10.1134/s1063779625700716.

Ibrahim, A./Derkach, D./Petrenko, A./Ratnikov, F./Kaledin, M.: Optimization of the Accelerator Control by Reinforcement Learning: A Simulation-Based Approach, Physics of Particles and Nuclei 2025, 1476-1481.

Ibrahim, A., Derkach, D., Petrenko, A., Ratnikov, F. und Kaledin, M. (2025), „Optimization of the Accelerator Control by Reinforcement Learning: A Simulation-Based Approach“, Physics of Particles and Nuclei, Vol. 56 No. 6, S. 1476-1481.