Average-Reward Reinforcement Learning for Multichain MDPs: A Hierarchical Decomposition Approach
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New papers, breakthroughs and academic AI research
AutoAdapt: Automatic Domain Discovery Enables Low-Cost Extensibility
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A Review Of Robotic World Models For Dynamic Environments Based On Factor And Scene Graphs
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ScribbleEdit: A Benchmark for Scribble-Only Image Editing
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YUBI-STAG: Contact and Semantic-Rich Alignment for VLAs via Automated Video-Language Grounding
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Abdominal Ultrasound Simulation from Semantic Labels using Paired Label-to-Physics-Based Image Translation
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Speech Emotion Recognition Using CNN and Its Use Case in Digital Healthcare
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Learning in the Recurrent State: Gradient Descent with Linear Recurrent Networks
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Koopman Observers for Diffusion Acceleration: Correcting Feature Forecasts with Shallow Measurements
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FaceKit: a Toolkit for Interpretable Facial Phenotyping, Synthetic Image Generation and Privacy Analysis in Rare Diseases
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Do Better Visual Representations Always Lead to Better End-to-End Autonomous Driving?
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Juno: Taming Predictive Latents for Vision-Language-Action Models
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