Proximal State Nudging (PSN) jointly optimizes skill development and task performance in shared autonomy, outperforming baselines in LunarLander simulation and yielding up to 7x larger unassisted skill gains with 50% fewer collisions in human CARLA driving studies.
Blending data-driven priors in dynamic games,
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Featurized Occupation Measures create a primal-dual framework that couples explicit HJB subsolutions with scalable trajectory optimization, proving asymptotic consistency and shifting dimensionality limits to system interconnection topology.
citing papers explorer
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Proximal State Nudging: Reducing Skill Atrophy from AI Assistance
Proximal State Nudging (PSN) jointly optimizes skill development and task performance in shared autonomy, outperforming baselines in LunarLander simulation and yielding up to 7x larger unassisted skill gains with 50% fewer collisions in human CARLA driving studies.
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Featurized Occupation Measures for Structured Global Search in Numerical Optimal Control
Featurized Occupation Measures create a primal-dual framework that couples explicit HJB subsolutions with scalable trajectory optimization, proving asymptotic consistency and shifting dimensionality limits to system interconnection topology.