[{"language":[{"iso":"eng"}],"_id":"67315","user_id":"47427","author":[{"first_name":"Michiel","last_name":"Straat","full_name":"Straat, Michiel"},{"full_name":"Markmann, Thorben","first_name":"Thorben","last_name":"Markmann"},{"full_name":"Peitz, Sebastian","first_name":"Sebastian","last_name":"Peitz","orcid":"0000-0002-3389-793X","id":"47427"},{"full_name":"Hammer, Barbara","first_name":"Barbara","last_name":"Hammer"}],"status":"public","year":"2025","title":"Improving the Robustness of Control of Chaotic Convective Flows with Domain-Informed Reinforcement Learning","date_updated":"2026-10-01T12:05:47Z","date_created":"2026-10-01T12:05:32Z","department":[{"_id":"655"}],"keyword":["own","own-preprint"],"type":"preprint","citation":{"mla":"Straat, Michiel, et al. “Improving the Robustness of Control of Chaotic Convective Flows with Domain-Informed Reinforcement Learning.” <i>ArXiv:2511.00272</i>, 2025.","ama":"Straat M, Markmann T, Peitz S, Hammer B. Improving the Robustness of Control of Chaotic Convective Flows with Domain-Informed Reinforcement Learning. <i>arXiv:251100272</i>. Published online 2025.","bibtex":"@article{Straat_Markmann_Peitz_Hammer_2025, title={Improving the Robustness of Control of Chaotic Convective Flows with Domain-Informed Reinforcement Learning}, journal={arXiv:2511.00272}, author={Straat, Michiel and Markmann, Thorben and Peitz, Sebastian and Hammer, Barbara}, year={2025} }","apa":"Straat, M., Markmann, T., Peitz, S., &#38; Hammer, B. (2025). Improving the Robustness of Control of Chaotic Convective Flows with Domain-Informed Reinforcement Learning. In <i>arXiv:2511.00272</i>.","ieee":"M. Straat, T. Markmann, S. Peitz, and B. Hammer, “Improving the Robustness of Control of Chaotic Convective Flows with Domain-Informed Reinforcement Learning,” <i>arXiv:2511.00272</i>. 2025.","short":"M. Straat, T. Markmann, S. Peitz, B. Hammer, ArXiv:2511.00272 (2025).","chicago":"Straat, Michiel, Thorben Markmann, Sebastian Peitz, and Barbara Hammer. “Improving the Robustness of Control of Chaotic Convective Flows with Domain-Informed Reinforcement Learning.” <i>ArXiv:2511.00272</i>, 2025."},"publication":"arXiv:2511.00272"}]