42 citations · 82 across the 8 of their papers we have counts for
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cs.RO2021★ 1 cited
UMBRELLA: Uncertainty-Aware Model-Based Offline Reinforcement Learning Leveraging Planning
Christopher Diehl, Timo Sievernich, Martin Krüger +2
Offline reinforcement learning (RL) provides a framework for learning decision-making from offline data and therefore constitutes a promising approach for real-world applications a…
eess.SY2021★ 2 cited
Suboptimal nonlinear model predictive control with input move-blocking
Artemi Makarow, Christoph Rösmann, Torsten Bertram
This paper deals with the integration of input move-blocking into the framework of suboptimal model predictive control. The blocked input parameterization is explicitly considered…