Hierarchical Reinforcement Learning for Collision-Free Locomotion of an Underactuated Biped
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Sharp Integrality Gaps in Calibration Distance
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Nexus: An Execution Fabric for AI Agents Across Cloud, Edge, and Devices
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Delay-coordinate reconstruction and conditional-moment causal diagnostics in stochastic systems
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MC-Sparse: Deconstructing and Closing the Dense-Sparse Attention Gap in Diffusion Transformers
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Adaptive Information Control for Search-Augmented LLM Reasoning
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Curriculum Brain: Constructing Curriculum Knowledge Graphs as a Substrate for Cognitive Diagnosis
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Square-Root Regret for Adversarial Multiplayer Bandits without Collision Information or Shared Randomness
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ReMaD: Tuning-free Domain Adaptation for Classification and Out-of-Distribution Detection
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Distilling Token-Trained Models into Byte-Level Models
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Who Keeps the Gains from Personal AI Assistants? Seller Adaptation and the Unassisted in a Language-Model Market Simulation
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CIPHER-MoE: Balancing Efficiency and Routing Fidelity in Trillion-Scale MoE Training
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