arxiv
PublishedJuly 18, 2026 at 4:00 AM
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SKooP: Symmetric Koopman Predictions for Faster and More Generalizable Legged Robot Locomotion with Reinforcement Learning
Publisher summary· verbatim
arXiv:2607.11624v3 Announce Type: replace-cross Abstract: Reinforcement learning (RL) algorithms classically suffer from poor sample efficiency. In robotics, a recent line of work has emerged addressing this problem by encoding physics priors in the learning process. However, most of these approache
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Originally published on arxiv ↗