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The SE(2) NavMesh captures over 50% more traversable area than classical navigation meshes, revolutionizing navigation for non-circular robots in complex environments.
MAPL achieves expert-level locomotion performance without the burden of manual reward design by harnessing the power of language models to evaluate multiple objectives simultaneously.
