30 citations · 120 across the 7 of their papers we have counts for
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cs.LG2019★ 26 cited
Constructing Parsimonious Analytic Models for Dynamic Systems via Symbolic Regression
Erik Derner, Jiří Kubalík, Nicola Ancona +1
Developing mathematical models of dynamic systems is central to many disciplines of engineering and science. Models facilitate simulations, analysis of the system's behavior, decis…
cs.LG2019★ 9 cited
Symbolic Regression Methods for Reinforcement Learning
Jiří Kubalík, Erik Derner, Jan Žegklitz +1
Reinforcement learning algorithms can solve dynamic decision-making and optimal control problems. With continuous-valued state and input variables, reinforcement learning algorithm…