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ORCIDErik Derner
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2020 – today
- 2021
[j4]Erik Derner
, Jirí Kubalík, Robert Babuska:
Selecting Informative Data Samples for Model Learning Through Symbolic Regression. IEEE Access 9: 14148-14158 (2021)- [j3]Erik Derner, Clara Gómez, Alejandra C. Hernández, Ramón Barber, Robert Babuska:
Change detection using weighted features for image-based localization. Robotics Auton. Syst. 135: 103676 (2021) - 2020
- [j2]Erik Derner, Jirí Kubalík, Nicola Ancona, Robert Babuska:
Constructing parsimonious analytic models for dynamic systems via symbolic regression. Appl. Soft Comput. 94: 106432 (2020) - [j1]Clara Gómez, Alejandra C. Hernández, Erik Derner, Ramón Barber, Robert Babuska:
Object-Based Pose Graph for Dynamic Indoor Environments. IEEE Robotics Autom. Lett. 5(4): 5401-5408 (2020) - [c9]Jirí Kubalík, Erik Derner, Robert Babuska:
Symbolic regression driven by training data and prior knowledge. GECCO 2020: 958-966 - [c8]Alejandra C. Hernández, Erik Derner, Clara Gómez, Ramón Barber, Robert Babuska:
Efficient Object Search Through Probability-Based Viewpoint Selection. IROS 2020: 6172-6179 - [i5]Jirí Kubalík, Erik Derner, Robert Babuska:
Symbolic Regression Driven by Training Data and Prior Knowledge. CoRR abs/2004.11947 (2020) - [i4]Jonás Kulhánek, Erik Derner, Robert Babuska:
Visual Navigation in Real-World Indoor Environments Using End-to-End Deep Reinforcement Learning. CoRR abs/2010.10903 (2020)
2010 – 2019
- 2019
- [c7]Erik Derner, Clara Gómez, Alejandra C. Hernández, Ramón Barber, Robert Babuska:
Towards Life-Long Autonomy of Mobile Robots Through Feature-Based Change Detection. ECMR 2019: 1-6 - [c6]Clara Gómez, Alejandra C. Hernández, Erik Derner, Ramón Barber:
Semantic Localization through Propagation of Scene Information in a Hierarchical Model. ECMR 2019: 1-6 - [c5]Alejandra C. Hernández, Clara Gómez, Erik Derner, Ramón Barber:
Indoor Scene Recognition based on Weighted Voting Schemes. ECMR 2019: 1-6 - [c4]Jonás Kulhánek, Erik Derner, Tim de Bruin, Robert Babuska:
Vision-based Navigation Using Deep Reinforcement Learning. ECMR 2019: 1-8 - [i3]Jirí Kubalík, Jan Zegklitz, Erik Derner, Robert Babuska:
Symbolic Regression Methods for Reinforcement Learning. CoRR abs/1903.09688 (2019) - [i2]Erik Derner, Jirí Kubalík, Nicola Ancona, Robert Babuska:
Symbolic Regression for Constructing Analytic Models in Reinforcement Learning. CoRR abs/1903.11483 (2019) - [i1]Jonás Kulhánek, Erik Derner, Tim de Bruin, Robert Babuska:
Vision-based Navigation Using Deep Reinforcement Learning. CoRR abs/1908.03627 (2019) - 2018
- [c3]Erik Derner, Jirí Kubalík, Robert Babuska:
Data-driven Construction of Symbolic Process Models for Reinforcement Learning. ICRA 2018: 1-8 - [c2]Erik Derner, Jirí Kubalík, Robert Babuska:
Reinforcement Learning with Symbolic Input-Output Models. IROS 2018: 3004-3009 - 2017
- [c1]Jirí Kubalík, Erik Derner, Robert Babuska:
Enhanced Symbolic Regression Through Local Variable Transformations. IJCCI 2017: 91-100
Coauthor Index
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