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cs.LG2026
Actor-Critic Pretraining for Proximal Policy Optimization
Andreas Kernbach, Amr Elsheikh, Nicolas Grupp +2
Reinforcement learning (RL) actor-critic algorithms enable autonomous learning but often require a large number of environment interactions, which limits their applicability in rob…
cs.RO2026
Behavioral Cloning for Robotic Connector Assembly: An Empirical Study
Andreas Kernbach, Daniel Bargmann, Werner Kraus +1
Automating the assembly of wire harnesses is challenging in automotive, electrical cabinet, and aircraft production, particularly due to deformable cables and a high variance in co…