Genetic Programming Bibliography entries for Robert Babuska

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GP coauthors/coeditors: Eduard Alibekov, Jiri Kubalik, Erik Derner, Nicola Ancona, Jan Zegklitz, Martin Vastl, Jonas Kulhanek,

Genetic Programming Articles by Robert Babuska

  1. Martin Vastl and Jonas Kulhanek and Jiri Kubalik and Erik Derner and Robert Babuska. SymFormer: End-to-End Symbolic Regression Using Transformer-Based Architecture. IEEE Access, 12:37840-37849, 2024. details

  2. Jiri Kubalik and Erik Derner and Robert Babuska. Toward Physically Plausible Data-Driven Models: A Novel Neural Network Approach to Symbolic Regression. IEEE Access, 11:61481-61501, 2023. details

  3. Jiri Kubalik and Erik Derner and Robert Babuska. Multi-objective symbolic regression for physics-aware dynamic modeling. Expert Systems with Applications, 182:115210, 2021. details

  4. Erik Derner and Jiri Kubalik and Nicola Ancona and Robert Babuska. Constructing parsimonious analytic models for dynamic systems via symbolic regression. Applied Soft Computing, 94:106432, 2020. details

  5. Jiri Kubalik and Eduard Alibekov and Robert Babuska. Optimal Control via Reinforcement Learning with Symbolic Policy Approximation. IFAC-PapersOnLine, 50(1):4162-4167, 2017. 20th IFAC World Congress. details

  6. Jiri Kubalik and Eduard Alibekov and Jan Zegklitz and Robert Babuska. Hybrid Single Node Genetic Programming for Symbolic Regression. Trans. Computational Collective Intelligence, 9770:61-82, 2016. details

Genetic Programming conference papers by Robert Babuska

  1. Erik Derner and Jiri Kubalik and Robert Babuska. Guiding Robot Model Construction with Prior Features. In 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pages 7112-7118, 2021. details

  2. Jiri Kubalik and Erik Derner and Robert Babuska. Symbolic Regression Driven by Training Data and Prior Knowledge. In Carlos Artemio Coello Coello and Arturo Hernandez Aguirre and Josu Ceberio Uribe and Mario Garza Fabre and Gregorio Toscano Pulido and Katya Rodriguez-Vazquez and Elizabeth Wanner and Nadarajen Veerapen and Efren Mezura Montes and Richard Allmendinger and Hugo Terashima Marin and Markus Wagner and Thomas Bartz-Beielstein and Bogdan Filipic and Heike Trautmann and Ke Tang and John Koza and Erik Goodman and William B. Langdon and Miguel Nicolau and Christine Zarges and Vanessa Volz and Tea Tusar and Boris Naujoks and Peter A. N. Bosman and Darrell Whitley and Christine Solnon and Marde Helbig and Stephane Doncieux and Dennis G. Wilson and Francisco Fernandez de Vega and Luis Paquete and Francisco Chicano and Bing Xue and Jaume Bacardit and Sanaz Mostaghim and Jonathan Fieldsend and Oliver Schuetze and Dirk Arnold and Gabriela Ochoa and Carlos Segura and Carlos Cotta and Michael Emmerich and Mengjie Zhang and Robin Purshouse and Tapabrata Ray and Justyna Petke and Fuyuki Ishikawa and Johannes Lengler and Frank Neumann editors, Proceedings of the 2020 Genetic and Evolutionary Computation Conference, pages 958-966, internet, 2020. Association for Computing Machinery. details

  3. Robert Babuska. Genetic programming methods for reinforcement learning. In Manuel Lopez-Ibanez and Thomas Stuetzle and Anne Auger and Petr Posik and Leslie Peprez Caceres and Andrew M. Sutton and Nadarajen Veerapen and Christine Solnon and Andries Engelbrecht and Stephane Doncieux and Sebastian Risi and Penousal Machado and Vanessa Volz and Christian Blum and Francisco Chicano and Bing Xue and Jean-Baptiste Mouret and Arnaud Liefooghe and Jonathan Fieldsend and Jose Antonio Lozano and Dirk Arnold and Gabriela Ochoa and Tian-Li Yu and Holger Hoos and Yaochu Jin and Ting Hu and Miguel Nicolau and Robin Purshouse and Thomas Baeck and Justyna Petke and Giuliano Antoniol and Johannes Lengler and Per Kristian Lehre editors, GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference, pages 2-2, Prague, Czech Republic, 2019. ACM. Invited keynote. details

  4. Erik Derner and Jiri Kubalik and Robert Babuska. Data-driven Construction of Symbolic Process Models for Reinforcement Learning. In 2018 IEEE International Conference on Robotics and Automation (ICRA), 2018. details

  5. Jiri Kubalik and Erik Derner and Robert Babuska. Enhanced Symbolic Regression Through Local Variable Transformations. In Christophe Sabourin and Juan Julian Merelo and Una-May O'Reilly and Kurosh Madani and Kevin Warwick editors, Proceedings of the 9th International Joint Conference on Computational Intelligence, IJCCI, pages 91-100, Funchal, Madeira, Portugal, 2017. SciTePress. details

  6. Eduard Alibekov and Jiri Kubalik and Robert Babuska. Symbolic method for deriving policy in reinforcement learning. In 2016 IEEE 55th Conference on Decision and Control (CDC), pages 2789-2795, 2016. details

  7. Jiri Kubalik and Robert Babuska. An Improved Single Node Genetic Programming for Symbolic Regression. In Agostinho Rosa and Juan Julian Merelo and Antonio Dourado and Jose M. Cadenas and Kurosh Madani and Antonio Ruano and Joaquim Filipe editors, Proceedings of the 7th International Joint Conference on Computational Intelligence, ECTA 2015, pages 244-251, Lisbon, Portugal, 2015. SCITEPRESS - Science and Technology Publications. details

Genetic Programming other entries for Robert Babuska