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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,694 papers · 148 categories

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2 results for “KGRL”

PAC-Bayesian Generalization Bounds for Knowledge Graph Representation Learningcs.LG

Paper presents first PAC-Bayesian bounds for KGRL methods.

problem Lack of theoretical analysis for KGRL methods.

method Proposes ReED framework for KGRL, covering 15 models.

result Provides theoretical grounding for KGRL methods.

PAC-Bayesian Knowledge Graph Representation Learning KGRL Generalization Bounds

2024-05-10abs ↗pdf ↗

Knowledge-guided Deep Reinforcement Learning for Interactive Recommendationcs.IR

KGRL uses reinforcement learning with knowledge graphs for better interactive recommendation.

problem Achieving responsiveness and accuracy in dynamic user-item interactions.

method KGRL combines reinforcement learning and knowledge graphs, using a local knowledge network and attention mechanism.

result KGRL outperforms state-of-the-art methods in simulated and real-world environments.

reinforcement learning interactive recommendation knowledge graphs attention mechanism dynamic environments

2020-04-17abs ↗pdf ↗