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Performance-Preserving Online Adaptation in Social Navigation via Diffusion Steering

Nagahisa, Haruto et al.
arXiv (All) · Papers
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robotics
In social navigation, modeling the complex interactions between humans and robots is difficult, and deep reinforcement learning has therefore been actively studied. However, because simulation alone cannot fully reproduce diverse scenarios, robot dynamics, and the social conventions that vary across
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