Geometric Pareto Control embeds Pareto solutions in a Lie group submanifold and navigates via Riemannian gradient flow to achieve 100% feasibility and low suboptimality in control tasks without retraining.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 2verdicts
UNVERDICTED 2representative citing papers
Path signatures combined with dynamic time warping enable more accurate and efficient online goal recognition than prior state-of-the-art methods in continuous domains.
citing papers explorer
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Geometric Pareto Control: Riemannian Gradient Flow of Energy Function via Lie Group Homotopy
Geometric Pareto Control embeds Pareto solutions in a Lie group submanifold and navigates via Riemannian gradient flow to achieve 100% feasibility and low suboptimality in control tasks without retraining.
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Online Goal Recognition using Path Signature and Dynamic Time Warping
Path signatures combined with dynamic time warping enable more accurate and efficient online goal recognition than prior state-of-the-art methods in continuous domains.