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Reinforcement Learning: A Comprehensive Open-Source Course. <i>Journal of Open Source Education</i>. 2026;9(97). doi:<a href=\"https://doi.org/10.21105/jose.00306\">10.21105/jose.00306</a>","apa":"Abdelwanis, A. H. A., Haucke-Korber, B., Jakobeit, D., Kirchgässner, W., Meyer, M., Schenke, M., Vater, H., Wallscheid, O., &#38; Weber, D. (2026). Reinforcement Learning: A Comprehensive Open-Source Course. <i>Journal of Open Source Education</i>, <i>9</i>(97), Article 306. <a href=\"https://doi.org/10.21105/jose.00306\">https://doi.org/10.21105/jose.00306</a>","mla":"Abdelwanis, Ali Hassan Ali, et al. “Reinforcement Learning: A Comprehensive Open-Source Course.” <i>Journal of Open Source Education</i>, vol. 9, no. 97, 306, The Open Journal, 2026, doi:<a href=\"https://doi.org/10.21105/jose.00306\">10.21105/jose.00306</a>.","bibtex":"@article{Abdelwanis_Haucke-Korber_Jakobeit_Kirchgässner_Meyer_Schenke_Vater_Wallscheid_Weber_2026, title={Reinforcement Learning: A Comprehensive Open-Source Course}, volume={9}, DOI={<a href=\"https://doi.org/10.21105/jose.00306\">10.21105/jose.00306</a>}, number={97306}, journal={Journal of Open Source Education}, publisher={The Open Journal}, author={Abdelwanis, Ali Hassan Ali and Haucke-Korber, Barnabas and Jakobeit, Darius and Kirchgässner, Wilhelm and Meyer, Marvin and Schenke, Maximilian and Vater, Hendrik and Wallscheid, Oliver and Weber, Daniel}, year={2026} }","short":"A.H.A. Abdelwanis, B. Haucke-Korber, D. Jakobeit, W. Kirchgässner, M. Meyer, M. Schenke, H. Vater, O. Wallscheid, D. Weber, Journal of Open Source Education 9 (2026).","ieee":"A. H. A. Abdelwanis <i>et al.</i>, “Reinforcement Learning: A Comprehensive Open-Source Course,” <i>Journal of Open Source Education</i>, vol. 9, no. 97, Art. no. 306, 2026, doi: <a href=\"https://doi.org/10.21105/jose.00306\">10.21105/jose.00306</a>.","chicago":"Abdelwanis, Ali Hassan Ali, Barnabas Haucke-Korber, Darius Jakobeit, Wilhelm Kirchgässner, Marvin Meyer, Maximilian Schenke, Hendrik Vater, Oliver Wallscheid, and Daniel Weber. “Reinforcement Learning: A Comprehensive Open-Source Course.” <i>Journal of Open Source Education</i> 9, no. 97 (2026). <a href=\"https://doi.org/10.21105/jose.00306\">https://doi.org/10.21105/jose.00306</a>."}},{"publication":"2025 IEEE International Electric Machines & Drives Conference (IEMDC)","type":"conference","status":"public","department":[{"_id":"52"}],"user_id":"93461","_id":"60746","language":[{"iso":"eng"}],"publication_status":"published","citation":{"apa":"Jakobeit, D., Peña López, M., Schenke, M., Haucke-Korber, B., &#38; Wallscheid, O. (2025). 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Wallscheid, in: 2025 IEEE International Electric Machines &#38; Drives Conference (IEMDC), IEEE, 2025.","bibtex":"@inproceedings{Jakobeit_Peña López_Schenke_Haucke-Korber_Wallscheid_2025, title={Structural Optimization of Meta-Reinforcement Learning-based Finite-Control-Set Direct Torque Control of Permanent Magnet Synchronous Motors}, DOI={<a href=\"https://doi.org/10.1109/iemdc60492.2025.11061179\">10.1109/iemdc60492.2025.11061179</a>}, booktitle={2025 IEEE International Electric Machines &#38; Drives Conference (IEMDC)}, publisher={IEEE}, author={Jakobeit, Darius and Peña López, Mario and Schenke, Maximilian and Haucke-Korber, Barnabas and Wallscheid, Oliver}, year={2025} }","chicago":"Jakobeit, Darius, Mario Peña López, Maximilian Schenke, Barnabas Haucke-Korber, and Oliver Wallscheid. “Structural Optimization of Meta-Reinforcement Learning-Based Finite-Control-Set Direct Torque Control of Permanent Magnet Synchronous Motors.” In <i>2025 IEEE International Electric Machines &#38; Drives Conference (IEMDC)</i>. IEEE, 2025. <a href=\"https://doi.org/10.1109/iemdc60492.2025.11061179\">https://doi.org/10.1109/iemdc60492.2025.11061179</a>.","ieee":"D. Jakobeit, M. Peña López, M. Schenke, B. Haucke-Korber, and O. Wallscheid, “Structural Optimization of Meta-Reinforcement Learning-based Finite-Control-Set Direct Torque Control of Permanent Magnet Synchronous Motors,” 2025, doi: <a href=\"https://doi.org/10.1109/iemdc60492.2025.11061179\">10.1109/iemdc60492.2025.11061179</a>.","ama":"Jakobeit D, Peña López M, Schenke M, Haucke-Korber B, Wallscheid O. Structural Optimization of Meta-Reinforcement Learning-based Finite-Control-Set Direct Torque Control of Permanent Magnet Synchronous Motors. In: <i>2025 IEEE International Electric Machines &#38; Drives Conference (IEMDC)</i>. IEEE; 2025. doi:<a href=\"https://doi.org/10.1109/iemdc60492.2025.11061179\">10.1109/iemdc60492.2025.11061179</a>"},"year":"2025","date_created":"2025-07-25T12:26:51Z","author":[{"first_name":"Darius","full_name":"Jakobeit, Darius","last_name":"Jakobeit"},{"first_name":"Mario","full_name":"Peña López, Mario","id":"82862","orcid":"0000-0001-5381-3660","last_name":"Peña López"},{"first_name":"Maximilian","full_name":"Schenke, Maximilian","id":"52638","last_name":"Schenke","orcid":"0000-0001-5427-9527"},{"first_name":"Barnabas","orcid":"0000-0003-0862-2069","last_name":"Haucke-Korber","id":"93461","full_name":"Haucke-Korber, Barnabas"},{"first_name":"Oliver","last_name":"Wallscheid","orcid":"https://orcid.org/0000-0001-9362-8777","full_name":"Wallscheid, Oliver","id":"11291"}],"publisher":"IEEE","date_updated":"2025-12-19T12:42:54Z","doi":"10.1109/iemdc60492.2025.11061179","title":"Structural Optimization of Meta-Reinforcement Learning-based Finite-Control-Set Direct Torque Control of Permanent Magnet Synchronous Motors"},{"_id":"60745","user_id":"93461","department":[{"_id":"52"}],"language":[{"iso":"eng"}],"type":"conference","publication":"2025 IEEE International Electric Machines & Drives Conference (IEMDC)","status":"public","publisher":"IEEE","date_updated":"2025-12-19T12:43:17Z","author":[{"id":"93461","full_name":"Haucke-Korber, Barnabas","orcid":"0000-0003-0862-2069","last_name":"Haucke-Korber","first_name":"Barnabas"},{"full_name":"Aung, Nyi Nyi","last_name":"Aung","first_name":"Nyi Nyi"},{"first_name":"Maximilian","id":"52638","full_name":"Schenke, Maximilian","last_name":"Schenke","orcid":"0000-0001-5427-9527"},{"full_name":"Peña López, Mario","id":"82862","orcid":"0000-0001-5381-3660","last_name":"Peña López","first_name":"Mario"},{"first_name":"Darius","last_name":"Jakobeit","full_name":"Jakobeit, Darius"},{"first_name":"Oliver","last_name":"Wallscheid","orcid":"https://orcid.org/0000-0001-9362-8777","id":"11291","full_name":"Wallscheid, Oliver"}],"date_created":"2025-07-25T12:26:35Z","title":"Reinforcement Learning-based Direct Torque Control of Externally Excited Synchronous Motors: a Proof of Concept","doi":"10.1109/iemdc60492.2025.11061093","publication_status":"published","year":"2025","citation":{"ieee":"B. Haucke-Korber, N. N. Aung, M. Schenke, M. Peña López, D. Jakobeit, and O. Wallscheid, “Reinforcement Learning-based Direct Torque Control of Externally Excited Synchronous Motors: a Proof of Concept,” 2025, doi: <a href=\"https://doi.org/10.1109/iemdc60492.2025.11061093\">10.1109/iemdc60492.2025.11061093</a>.","chicago":"Haucke-Korber, Barnabas, Nyi Nyi Aung, Maximilian Schenke, Mario Peña López, Darius Jakobeit, and Oliver Wallscheid. “Reinforcement Learning-Based Direct Torque Control of Externally Excited Synchronous Motors: A Proof of Concept.” In <i>2025 IEEE International Electric Machines &#38; Drives Conference (IEMDC)</i>. IEEE, 2025. <a href=\"https://doi.org/10.1109/iemdc60492.2025.11061093\">https://doi.org/10.1109/iemdc60492.2025.11061093</a>.","ama":"Haucke-Korber B, Aung NN, Schenke M, Peña López M, Jakobeit D, Wallscheid O. Reinforcement Learning-based Direct Torque Control of Externally Excited Synchronous Motors: a Proof of Concept. In: <i>2025 IEEE International Electric Machines &#38; Drives Conference (IEMDC)</i>. IEEE; 2025. doi:<a href=\"https://doi.org/10.1109/iemdc60492.2025.11061093\">10.1109/iemdc60492.2025.11061093</a>","apa":"Haucke-Korber, B., Aung, N. N., Schenke, M., Peña López, M., Jakobeit, D., &#38; Wallscheid, O. (2025). Reinforcement Learning-based Direct Torque Control of Externally Excited Synchronous Motors: a Proof of Concept. <i>2025 IEEE International Electric Machines &#38; Drives Conference (IEMDC)</i>. <a href=\"https://doi.org/10.1109/iemdc60492.2025.11061093\">https://doi.org/10.1109/iemdc60492.2025.11061093</a>","short":"B. Haucke-Korber, N.N. Aung, M. Schenke, M. Peña López, D. Jakobeit, O. Wallscheid, in: 2025 IEEE International Electric Machines &#38; Drives Conference (IEMDC), IEEE, 2025.","mla":"Haucke-Korber, Barnabas, et al. “Reinforcement Learning-Based Direct Torque Control of Externally Excited Synchronous Motors: A Proof of Concept.” <i>2025 IEEE International Electric Machines &#38; Drives Conference (IEMDC)</i>, IEEE, 2025, doi:<a href=\"https://doi.org/10.1109/iemdc60492.2025.11061093\">10.1109/iemdc60492.2025.11061093</a>.","bibtex":"@inproceedings{Haucke-Korber_Aung_Schenke_Peña López_Jakobeit_Wallscheid_2025, title={Reinforcement Learning-based Direct Torque Control of Externally Excited Synchronous Motors: a Proof of Concept}, DOI={<a href=\"https://doi.org/10.1109/iemdc60492.2025.11061093\">10.1109/iemdc60492.2025.11061093</a>}, booktitle={2025 IEEE International Electric Machines &#38; Drives Conference (IEMDC)}, publisher={IEEE}, author={Haucke-Korber, Barnabas and Aung, Nyi Nyi and Schenke, Maximilian and Peña López, Mario and Jakobeit, Darius and Wallscheid, Oliver}, year={2025} }"}},{"publisher":"IEEE","date_updated":"2025-12-19T12:43:37Z","date_created":"2025-07-25T12:26:05Z","author":[{"full_name":"Peña López, Mario","id":"82862","last_name":"Peña López","orcid":"0000-0001-5381-3660","first_name":"Mario"},{"id":"52638","full_name":"Schenke, Maximilian","last_name":"Schenke","orcid":"0000-0001-5427-9527","first_name":"Maximilian"},{"first_name":"Darius","last_name":"Jakobeit","full_name":"Jakobeit, Darius"},{"first_name":"Barnabas","last_name":"Haucke-Korber","orcid":"0000-0003-0862-2069","full_name":"Haucke-Korber, Barnabas","id":"93461"},{"orcid":"https://orcid.org/0000-0001-9362-8777","last_name":"Wallscheid","id":"11291","full_name":"Wallscheid, Oliver","first_name":"Oliver"}],"title":"Reinforcement Learning Control of Three-Level Converter Permanent Magnet Synchronous Machine Drives","doi":"10.1109/iemdc60492.2025.11061032","publication_status":"published","year":"2025","citation":{"ama":"Peña López M, Schenke M, Jakobeit D, Haucke-Korber B, Wallscheid O. Reinforcement Learning Control of Three-Level Converter Permanent Magnet Synchronous Machine Drives. In: <i>2025 IEEE International Electric Machines &#38; Drives Conference (IEMDC)</i>. IEEE; 2025. doi:<a href=\"https://doi.org/10.1109/iemdc60492.2025.11061032\">10.1109/iemdc60492.2025.11061032</a>","chicago":"Peña López, Mario, Maximilian Schenke, Darius Jakobeit, Barnabas Haucke-Korber, and Oliver Wallscheid. “Reinforcement Learning Control of Three-Level Converter Permanent Magnet Synchronous Machine Drives.” In <i>2025 IEEE International Electric Machines &#38; Drives Conference (IEMDC)</i>. IEEE, 2025. <a href=\"https://doi.org/10.1109/iemdc60492.2025.11061032\">https://doi.org/10.1109/iemdc60492.2025.11061032</a>.","ieee":"M. Peña López, M. Schenke, D. Jakobeit, B. Haucke-Korber, and O. Wallscheid, “Reinforcement Learning Control of Three-Level Converter Permanent Magnet Synchronous Machine Drives,” 2025, doi: <a href=\"https://doi.org/10.1109/iemdc60492.2025.11061032\">10.1109/iemdc60492.2025.11061032</a>.","short":"M. Peña López, M. Schenke, D. Jakobeit, B. Haucke-Korber, O. Wallscheid, in: 2025 IEEE International Electric Machines &#38; Drives Conference (IEMDC), IEEE, 2025.","mla":"Peña López, Mario, et al. “Reinforcement Learning Control of Three-Level Converter Permanent Magnet Synchronous Machine Drives.” <i>2025 IEEE International Electric Machines &#38; Drives Conference (IEMDC)</i>, IEEE, 2025, doi:<a href=\"https://doi.org/10.1109/iemdc60492.2025.11061032\">10.1109/iemdc60492.2025.11061032</a>.","bibtex":"@inproceedings{Peña López_Schenke_Jakobeit_Haucke-Korber_Wallscheid_2025, title={Reinforcement Learning Control of Three-Level Converter Permanent Magnet Synchronous Machine Drives}, DOI={<a href=\"https://doi.org/10.1109/iemdc60492.2025.11061032\">10.1109/iemdc60492.2025.11061032</a>}, booktitle={2025 IEEE International Electric Machines &#38; Drives Conference (IEMDC)}, publisher={IEEE}, author={Peña López, Mario and Schenke, Maximilian and Jakobeit, Darius and Haucke-Korber, Barnabas and Wallscheid, Oliver}, year={2025} }","apa":"Peña López, M., Schenke, M., Jakobeit, D., Haucke-Korber, B., &#38; Wallscheid, O. (2025). Reinforcement Learning Control of Three-Level Converter Permanent Magnet Synchronous Machine Drives. <i>2025 IEEE International Electric Machines &#38; Drives Conference (IEMDC)</i>. <a href=\"https://doi.org/10.1109/iemdc60492.2025.11061032\">https://doi.org/10.1109/iemdc60492.2025.11061032</a>"},"_id":"60744","department":[{"_id":"52"}],"user_id":"93461","language":[{"iso":"eng"}],"publication":"2025 IEEE International Electric Machines & Drives Conference (IEMDC)","type":"conference","status":"public"},{"publication":"Physica D: Nonlinear Phenomena","type":"journal_article","abstract":[{"lang":"eng","text":"We present a convolutional framework which significantly reduces the complexity and thus, the computational effort for distributed reinforcement learning control of dynamical systems governed by partial differential equations (PDEs). Exploiting translational equivariances, the high-dimensional distributed control problem can be transformed into a multi-agent control problem with many identical, uncoupled agents. Furthermore, using the fact that information is transported with finite velocity in many cases, the dimension of the agents’ environment can be drastically reduced using a convolution operation over the state space of the PDE, by which we effectively tackle the curse of dimensionality otherwise present in deep reinforcement learning. In this setting, the complexity can be flexibly adjusted via the kernel width or by using a stride greater than one (meaning that we do not place an actuator at each sensor location). Moreover, scaling from smaller to larger domains – or the transfer between different domains – becomes a straightforward task requiring little effort. We demonstrate the performance of the proposed framework using several PDE examples with increasing complexity, where stabilization is achieved by training a low-dimensional deep deterministic policy gradient agent using minimal computing resources."}],"status":"public","_id":"40171","department":[{"_id":"655"}],"user_id":"47427","article_type":"original","language":[{"iso":"eng"}],"year":"2024","page":"134096","intvolume":"       461","citation":{"bibtex":"@article{Peitz_Stenner_Chidananda_Wallscheid_Brunton_Taira_2024, title={Distributed Control of Partial Differential Equations Using  Convolutional Reinforcement Learning}, volume={461}, DOI={<a href=\"https://doi.org/10.1016/j.physd.2024.134096\">10.1016/j.physd.2024.134096</a>}, journal={Physica D: Nonlinear Phenomena}, publisher={Elsevier}, author={Peitz, Sebastian and Stenner, Jan and Chidananda, Vikas and Wallscheid, Oliver and Brunton, Steven L. and Taira, Kunihiko}, year={2024}, pages={134096} }","mla":"Peitz, Sebastian, et al. “Distributed Control of Partial Differential Equations Using  Convolutional Reinforcement Learning.” <i>Physica D: Nonlinear Phenomena</i>, vol. 461, Elsevier, 2024, p. 134096, doi:<a href=\"https://doi.org/10.1016/j.physd.2024.134096\">10.1016/j.physd.2024.134096</a>.","short":"S. Peitz, J. Stenner, V. Chidananda, O. Wallscheid, S.L. Brunton, K. Taira, Physica D: Nonlinear Phenomena 461 (2024) 134096.","apa":"Peitz, S., Stenner, J., Chidananda, V., Wallscheid, O., Brunton, S. L., &#38; Taira, K. (2024). Distributed Control of Partial Differential Equations Using  Convolutional Reinforcement Learning. <i>Physica D: Nonlinear Phenomena</i>, <i>461</i>, 134096. <a href=\"https://doi.org/10.1016/j.physd.2024.134096\">https://doi.org/10.1016/j.physd.2024.134096</a>","chicago":"Peitz, Sebastian, Jan Stenner, Vikas Chidananda, Oliver Wallscheid, Steven L. Brunton, and Kunihiko Taira. “Distributed Control of Partial Differential Equations Using  Convolutional Reinforcement Learning.” <i>Physica D: Nonlinear Phenomena</i> 461 (2024): 134096. <a href=\"https://doi.org/10.1016/j.physd.2024.134096\">https://doi.org/10.1016/j.physd.2024.134096</a>.","ieee":"S. Peitz, J. Stenner, V. Chidananda, O. Wallscheid, S. L. Brunton, and K. Taira, “Distributed Control of Partial Differential Equations Using  Convolutional Reinforcement Learning,” <i>Physica D: Nonlinear Phenomena</i>, vol. 461, p. 134096, 2024, doi: <a href=\"https://doi.org/10.1016/j.physd.2024.134096\">10.1016/j.physd.2024.134096</a>.","ama":"Peitz S, Stenner J, Chidananda V, Wallscheid O, Brunton SL, Taira K. Distributed Control of Partial Differential Equations Using  Convolutional Reinforcement Learning. <i>Physica D: Nonlinear Phenomena</i>. 2024;461:134096. doi:<a href=\"https://doi.org/10.1016/j.physd.2024.134096\">10.1016/j.physd.2024.134096</a>"},"date_updated":"2024-02-23T10:53:42Z","publisher":"Elsevier","oa":"1","volume":461,"date_created":"2023-01-26T07:56:26Z","author":[{"id":"47427","full_name":"Peitz, Sebastian","orcid":"0000-0002-3389-793X","last_name":"Peitz","first_name":"Sebastian"},{"first_name":"Jan","full_name":"Stenner, Jan","id":"65520","last_name":"Stenner"},{"full_name":"Chidananda, Vikas","last_name":"Chidananda","first_name":"Vikas"},{"first_name":"Oliver","orcid":"https://orcid.org/0000-0001-9362-8777","last_name":"Wallscheid","id":"11291","full_name":"Wallscheid, Oliver"},{"last_name":"Brunton","full_name":"Brunton, Steven L.","first_name":"Steven L."},{"first_name":"Kunihiko","last_name":"Taira","full_name":"Taira, Kunihiko"}],"title":"Distributed Control of Partial Differential Equations Using  Convolutional Reinforcement Learning","doi":"10.1016/j.physd.2024.134096","main_file_link":[{"open_access":"1","url":"https://doi.org/10.1016/j.physd.2024.134096"}]},{"author":[{"full_name":"Hölsch, Lukas","last_name":"Hölsch","first_name":"Lukas"},{"first_name":"Anian","full_name":"Brosch, Anian","id":"75779","orcid":"0000-0003-4871-1664","last_name":"Brosch"},{"first_name":"Richard","last_name":"Steckel","full_name":"Steckel, Richard"},{"full_name":"Braun, Tristan","last_name":"Braun","first_name":"Tristan"},{"full_name":"Wendel, Sebastian","last_name":"Wendel","first_name":"Sebastian"},{"last_name":"Böcker","orcid":"0000-0002-8480-7295","id":"66","full_name":"Böcker, Joachim","first_name":"Joachim"},{"first_name":"Oliver","orcid":"https://orcid.org/0000-0001-9362-8777","last_name":"Wallscheid","id":"11291","full_name":"Wallscheid, Oliver"}],"date_created":"2024-04-06T13:48:59Z","date_updated":"2024-06-13T11:03:00Z","publisher":"Institute of Electrical and Electronics Engineers (IEEE)","doi":"10.1109/tec.2024.3374962","title":"Insights and Challenges of Co-Simulation-Based Optimal Pulse Pattern Evaluation for Electric Drives","publication_status":"published","publication_identifier":{"issn":["0885-8969","1558-0059"]},"citation":{"apa":"Hölsch, L., Brosch, A., Steckel, R., Braun, T., Wendel, S., Böcker, J., &#38; Wallscheid, O. 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Insights and Challenges of Co-Simulation-Based Optimal Pulse Pattern Evaluation for Electric Drives. <i>IEEE Transactions on Energy Conversion</i>, 1–12. <a href=\"https://doi.org/10.1109/tec.2024.3374962\">https://doi.org/10.1109/tec.2024.3374962</a>","bibtex":"@article{Hölsch_Brosch_Steckel_Braun_Wendel_Böcker_Wallscheid_2024, title={Insights and Challenges of Co-Simulation-Based Optimal Pulse Pattern Evaluation for Electric Drives}, DOI={<a href=\"https://doi.org/10.1109/tec.2024.3374962\">10.1109/tec.2024.3374962</a>}, journal={IEEE Transactions on Energy Conversion}, publisher={Institute of Electrical and Electronics Engineers (IEEE)}, author={Hölsch, Lukas and Brosch, Anian and Steckel, Richard and Braun, Tristan and Wendel, Sebastian and Böcker, Joachim and Wallscheid, Oliver}, year={2024}, pages={1–12} }","mla":"Hölsch, Lukas, et al. “Insights and Challenges of Co-Simulation-Based Optimal Pulse Pattern Evaluation for Electric Drives.” <i>IEEE Transactions on Energy Conversion</i>, Institute of Electrical and Electronics Engineers (IEEE), 2024, pp. 1–12, doi:<a href=\"https://doi.org/10.1109/tec.2024.3374962\">10.1109/tec.2024.3374962</a>.","short":"L. 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