68 citations · 287 across the 13 of their papers we have counts for
3 papers · 1 filter
Vision-based Navigation Using Deep Reinforcement Learning
Jonáš Kulhánek, Erik Derner, Tim de Bruin +1
Deep reinforcement learning (RL) has been successfully applied to a variety of game-like environments. However, the application of deep RL to visual navigation with realistic envir…
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…
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…