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Jiri Kubalik

Czech Technical University in Prague

77

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333

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Symbolic Regression Methods for Reinforcement Learning

2021 IEEE Access
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Multi-objective symbolic regression for physics-aware dynamic modeling

2021 Expert Systems With Applications
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Constructing Parsimonious Analytic Models for Dynamic Systems via Symbolic Regression.

2020 arXiv: Learning
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Symbolic Regression Driven by Training Data and Prior Knowledge

2020 GECCO | Genetic and Evolutionary Computation Conference
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Constructing Parsimonious Analytic Models for Dynamic Systems via Symbolic Regression. (arXiv:1903.11483v2 [cs.LG] UPDATED)

2020
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An Integrated Approach to Goal Selection in Mobile Robot Exploration

2020 arXiv: Robotics
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Symbolic Regression Driven by Training Data and Prior Knowledge

2020 arXiv: Learning
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Proxy Functions for Approximate Reinforcement Learning

2019 IFAC-PapersOnLine
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Plant Layout Optimization Using Evolutionary Algorithms

2019 IAHMAS | International Conference on Industrial Applications of Holonic and Multi-Agent Systems
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Symbolic Regression Methods for Reinforcement Learning.

2019 arXiv: Learning
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