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This work proposes SkillGrain, a framework for learning reusable personalized skills from user feedback that decomposes feedback into independently actionable rules, predicts their transferability, and retains only those suitable for future requests.
Experiments and runtime validation show that AeroWeaver maintains valid skill execution under tested conditions and supports body-local multi-UAV operation without a central agent generating joint actions from global context, while reward-guided online updates provide a training-free path for adaptive learning swarm ag...
This work instantiates VoLN for aerial navigation through VoLN-UAV, a 7,210-episode benchmark that combines long-horizon goal-directed flight, continuous 3D motion, large viewpoint changes, and context-dependent beacon selection and reveals substantial remaining challenges in long-horizon evidence integration, cross-vi...
Reinforcement Genetic Programming is proposed, a purely GP-based and non-RL framework that explicitly realizes a stage-wise retention– reintroduction loop through a dynamically maintained subexpression pool and pool-guided population initialization, suggesting that progressive subexpression reuse is an effective mechan...
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