Deep Reinforcement Learning Book
🧠Machine Learning
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Nonmonotonic Logic
🔬Logic in Computer Science
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Making MLS More Decentralized
🌳Archive Merkle Trees
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Libevpl – event loop engine with unified abstractions for network and block I/O
🌊Streaming Systems
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Leveling with cluster analysis in Python
📏Range Queries
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Real-Time Shockwave Propagation Prediction via Hybrid Neural-Finite Element Modeling
🌊Streaming Compression
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KARIPAP: Quantum-Inspired Tensor Network Compression of Large Language Models Using Infinite Projected Entangled Pair States and Tensor Renormalization Group
arxiv.org·2d
🕸️Tensor Networks
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RETuning: Upgrading Inference-Time Scaling for Stock Movement Prediction with Large Language Models
arxiv.org·3d
🧠Machine Learning
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Enhancing Hierarchical Reinforcement Learning through Change Point Detection in Time Series
arxiv.org·18h
⚡Incremental Computation
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Block-Diagonal LoRA for Eliminating Communication Overhead in Tensor Parallel LoRA Serving
arxiv.org·2d
💻Local LLMs
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The Forgotten Hero in the AI Workflow
⚡Proof Automation
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Memory Retrieval and Consolidation in Large Language Models through FunctionTokens
🔗Concatenative Programming
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What the Big Three Consultancies are Missing About AI (And the Code That Proves It)
hackernoon.com·17h
🌍Cultural Algorithms
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VL-SAE: Interpreting and Enhancing Vision-Language Alignment with a Unified Concept Set
arxiv.org·3d
🧮Vector Embeddings
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Dual-Mind World Models: A General Framework for Learning in Dynamic Wireless Networks
arxiv.org·1d
🧠Machine Learning
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