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HSRL is a novel reinforcement learning framework for recommender systems that addresses one of the most critical bottlenecks in RL-based recommendation — the dynamic and high-dimensional action space.

Understand Thevenin’s Theorem the easy way with a clear, step-by-step circuit example. Learn how to simplify complex electrical networks into an equivalent circuit, making analysis faster and ...

Abstract: The survey delf into the intricate dynamics of battery behavior nether change temperature conditions, use angstrom comprehensive examination 2RC equivalent circuit battery model. by analyze ...

This project investigates data curation strategies to solve the long-tail problem in autonomous driving. Standard Offline RL agents, trained on the raw, imbalanced data distribution, often fail in ...

Holdings from the library at the Goddard Space Flight Center, which includes unique documents from the early 20th century to the Soviet space race, will be warehoused or thrown out. By Eric Niiler Our ...

Differential Geometry. Prerequiste: MATH 224. This course studies the geometry of curves and surfaces in Euclidean space: intrinsic and extrinsic geometry, curvature, structural equations of ...

Daniel Liberto is a journalist with over 10 years of experience working with publications such as the Financial Times, The Independent, and Investors Chronicle. Robert Kelly is managing director of ...

Alexandra Twin has 15+ years of experience as an editor and writer, covering financial news for public and private companies. David Kindness is a Certified Public Accountant (CPA) and an expert in the ...