A Survey of Robotic Navigation and Manipulation with Physics Simulators in the Era of Embodied AI
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Event-Driven ML Pipeline Orchestration for Manufacturing: An AWS Industry Experience
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Near-Optimal Sample Complexity for Recursive Entropic Risk Reinforcement Learning with a Generative Model
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TEMPEST: Temporal Embeddings for Scalable Driver Identification via Angular Margin Learning
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EduAlign: Aligning Educational LLMs for Helpfulness, Personalization, and Creativity
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Reinforcement Learning with Verifiable yet Noisy Rewards under Imperfect Verifiers
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Graph-Based Floor Separation Using Node Embeddings and Clustering of WiFi Trajectories
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Using Echo-State Networks to Reproduce Rare Events in Chaotic Systems
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Comparative review of hybrid forecasting models for short-term prediction of building thermal load
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When Does External Guidance Help LLM Reasoning? A Bias-Variance Theory of Guidance-Augmented GRPO
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Anomaly Detection and Generation with Diffusion Models: A Survey
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Physics-informed GNN for medium-high voltage AC power flow with edge-aware attention and line search correction operator
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