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cs.RO2026
Reinforcement Learning for Optimal Experiment Design in Parameter Identification of Mechatronic Systems
Julian Langschwert, Georg Schaefer, Jakob Rehrl +2
Informative excitation signals are critical for accurate system identification of mechatronic systems, yet classical system identification (SI) approaches require expert knowledge…
cs.LG2026
Chebyshev Policies and the Mountain Car Problem: Reinforcement Learning for Low-Dimensional Control Tasks
Stefan Huber, Hannes Unger, Georg Schäfer +1
We analytically solve the Mountain Car problem, a canonical benchmark in RL, and derive an optimal control solution, closing a gap after 36 years. This enables us to reveal two sur…