57 citations · 184 across the 10 of their papers we have counts for
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cs.LG2019
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
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…