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Optimizing berth allocation in maritime transportation with quay crane setup times using reinforcement learning
Dai, Y., Li, Z., & Wang, B. (2023). Optimizing berth allocation in maritime transportation with quay crane setup times using reinforcement learning. Journal of Marine Science and Engineering, 11(5), 1025 (14 pp.). https://doi.org/10.3390/jmse11051025
On the use of conditional TimeGAN to enhance the robustness of a reinforcement learning agent in the building domain
Fochesato, M., Khayatian, F., Fonseca Lima, D., & Nagy, Z. (2022). On the use of conditional TimeGAN to enhance the robustness of a reinforcement learning agent in the building domain. In BuildSys '22. The 9th ACM international conference on systems for energy-efficient buildings, cities, and transportation (pp. 208-217). https://doi.org/10.1145/3563357.3564080
Smart closed-loop control of laser welding using reinforcement learning
Le Quang, T., Meylan, B., Masinelli, G., Saeidi, F., Shevchik, S. A., Farahani, F. V., & Wasmer, K. (2022). Smart closed-loop control of laser welding using reinforcement learning. In M. Schmidt, F. Vollertsen, & B. M. Colosimo (Eds.), Procedia CIRP: Vol. 111. 12th CIRP conference on photonic technologies [LANE 2022] (pp. 479-483). https://doi.org/10.1016/j.procir.2022.08.074
Using generative adversarial networks to evaluate robustness of reinforcement learning agents against uncertainties
Khayatian, F., Nagy, Z., & Bollinger, A. (2021). Using generative adversarial networks to evaluate robustness of reinforcement learning agents against uncertainties. Energy and Buildings, 251, 111334 (13 pp.). https://doi.org/10.1016/j.enbuild.2021.111334
Applications of reinforcement learning in energy systems
Perera, A. T. D., & Kamalaruban, P. (2021). Applications of reinforcement learning in energy systems. Renewable and Sustainable Energy Reviews, 137, 110618 (22 pp.). https://doi.org/10.1016/j.rser.2020.110618
Adaptive laser welding control: a reinforcement learning approach
Masinelli, G., Le-Quang, T., Zanoli, S., Wasmer, K., & Shevchik, S. A. (2020). Adaptive laser welding control: a reinforcement learning approach. IEEE Access, 8, 103803-103814. https://doi.org/10.1109/ACCESS.2020.2998052
Introducing reinforcement learning to the energy system design process
Perera, A. T. D., Wickramasinghe, P. U., Nik, V. M., & Scartezzini, J. L. (2020). Introducing reinforcement learning to the energy system design process. Applied Energy, 262, 114580 (14 pp.). https://doi.org/10.1016/j.apenergy.2020.114580
In situ quality monitoring in AM using acoustic emission: a reinforcement learning approach
Wasmer, K., Le-Quang, T., Meylan, B., & Shevchik, S. A. (2019). In situ quality monitoring in AM using acoustic emission: a reinforcement learning approach. Journal of Materials Engineering and Performance, 28(2), 666-672. https://doi.org/10.1007/s11665-018-3690-2