Alexander Dittrich

I'm exploring whether biologically inspired neural network architectures and learning approaches can improve the generalization capabilities and sample-efficiency of embodied systems in reward-based behaviour learning beyond what's achievable with current state-of-the-art reinforcement learning. We apply these architectures and learning approaches to large-scale autonomous and soft tensegrity robots in disaster scenarios like collapsed buildings and bridges.