Context-Aware Adaptive Sampling for Intelligent Data Acquisition Systems Using DQN
Fuente:
arXiv
Guardado en:
| Autores principales: | Huang, Weiqiang, Zhan, Juecen, Sun, Yumeng, Han, Xu, An, Tai, Jiang, Nan |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
State-Aware IoT Scheduling Using Deep Q-Networks and Edge-Based Coordination
por: He, Qingyuan, et al.
Publicado: (2025)
por: He, Qingyuan, et al.
Publicado: (2025)
Joint Graph Convolution and Sequential Modeling for Scalable Network Traffic Estimation
por: Jiang, Nan, et al.
Publicado: (2025)
por: Jiang, Nan, et al.
Publicado: (2025)
Towards Robust Few-Shot Text Classification Using Transformer Architectures and Dual Loss Strategies
por: Han, Xu, et al.
Publicado: (2025)
por: Han, Xu, et al.
Publicado: (2025)
Dynamic Operating System Scheduling Using Double DQN: A Reinforcement Learning Approach to Task Optimization
por: Sun, Xiaoxuan, et al.
Publicado: (2025)
por: Sun, Xiaoxuan, et al.
Publicado: (2025)
GB-DQN: Gradient Boosted DQN Models for Non-stationary Reinforcement Learning
por: Lee, Chang-Hwan, et al.
Publicado: (2025)
por: Lee, Chang-Hwan, et al.
Publicado: (2025)
Domain Adaptive and Fine-grained Anomaly Detection for Single-cell Sequencing Data and Beyond
por: Xu, Kaichen, et al.
Publicado: (2024)
por: Xu, Kaichen, et al.
Publicado: (2024)
Context-Aware Online Conformal Anomaly Detection with Prediction-Powered Data Acquisition
por: Farzaneh, Amirmohammad, et al.
Publicado: (2025)
por: Farzaneh, Amirmohammad, et al.
Publicado: (2025)
A Controlled Study of Double DQN and Dueling DQN Under Cross-Environment Transfer
por: Nasir, Azkaa, et al.
Publicado: (2026)
por: Nasir, Azkaa, et al.
Publicado: (2026)
TreeDQN: Sample-Efficient Off-Policy Reinforcement Learning for Combinatorial Optimization
por: Sorokin, D., et al.
Publicado: (2023)
por: Sorokin, D., et al.
Publicado: (2023)
Robust Semi-supervised Learning by Wisely Leveraging Open-set Data
por: Yang, Yang, et al.
Publicado: (2024)
por: Yang, Yang, et al.
Publicado: (2024)
E2LVLM:Evidence-Enhanced Large Vision-Language Model for Multimodal Out-of-Context Misinformation Detection
por: Wu, Junjie, et al.
Publicado: (2025)
por: Wu, Junjie, et al.
Publicado: (2025)
$β$-DQN: Improving Deep Q-Learning By Evolving the Behavior
por: Zhang, Hongming, et al.
Publicado: (2025)
por: Zhang, Hongming, et al.
Publicado: (2025)
Value of Information-Enhanced Exploration in Bootstrapped DQN
por: Plataniotis, Stergios, et al.
Publicado: (2025)
por: Plataniotis, Stergios, et al.
Publicado: (2025)
Mitigating the Stability-Plasticity Dilemma in Adaptive Train Scheduling with Curriculum-Driven Continual DQN Expansion
por: Jaziri, Achref, et al.
Publicado: (2024)
por: Jaziri, Achref, et al.
Publicado: (2024)
Evolutionary Context Search for Automated Skill Acquisition
por: Sun, Qi, et al.
Publicado: (2026)
por: Sun, Qi, et al.
Publicado: (2026)
Improving the Diversity of Bootstrapped DQN by Replacing Priors With Noise
por: Meng, Li, et al.
Publicado: (2022)
por: Meng, Li, et al.
Publicado: (2022)
Adaptive Data Optimization: Dynamic Sample Selection with Scaling Laws
por: Jiang, Yiding, et al.
Publicado: (2024)
por: Jiang, Yiding, et al.
Publicado: (2024)
Relaxed Efficient Acquisition of Context and Temporal Features
por: Qu, Yunni, et al.
Publicado: (2026)
por: Qu, Yunni, et al.
Publicado: (2026)
Decentralized Semantic Traffic Control in AVs Using RL and DQN for Dynamic Roadblocks
por: Figetakis, Emanuel, et al.
Publicado: (2024)
por: Figetakis, Emanuel, et al.
Publicado: (2024)
Adaptive Sensor Steering Strategy Using Deep Reinforcement Learning for Dynamic Data Acquisition in Digital Twins
por: Ogbodo, Collins O., et al.
Publicado: (2025)
por: Ogbodo, Collins O., et al.
Publicado: (2025)
Semi-supervised learning via DQN for log anomaly detection
por: He, Yingying, et al.
Publicado: (2024)
por: He, Yingying, et al.
Publicado: (2024)
Does DQN Learn?
por: Gopalan, Aditya, et al.
Publicado: (2022)
por: Gopalan, Aditya, et al.
Publicado: (2022)
Adaptive Unimodal Regulation for Balanced Multimodal Information Acquisition
por: Huang, Chengxiang, et al.
Publicado: (2025)
por: Huang, Chengxiang, et al.
Publicado: (2025)
Faster Convergence on Heterogeneous Federated Edge Learning: An Adaptive Clustered Data Sharing Approach
por: Hu, Gang, et al.
Publicado: (2024)
por: Hu, Gang, et al.
Publicado: (2024)
DAVED: Data Acquisition via Experimental Design for Data Markets
por: Lu, Charles, et al.
Publicado: (2024)
por: Lu, Charles, et al.
Publicado: (2024)
Deep Adaptive Interest Network: Personalized Recommendation with Context-Aware Learning
por: Huang, Shuaishuai, et al.
Publicado: (2024)
por: Huang, Shuaishuai, et al.
Publicado: (2024)
ROAD: Adaptive Data Mixing for Offline-to-Online Reinforcement Learning via Bi-Level Optimization
por: Yang, Letian, et al.
Publicado: (2026)
por: Yang, Letian, et al.
Publicado: (2026)
Adaptively trained Physics-informed Radial Basis Function Neural Networks for Solving Multi-asset Option Pricing Problems
por: Ma, Yan, et al.
Publicado: (2026)
por: Ma, Yan, et al.
Publicado: (2026)
Adaptive Data Augmentation for Thompson Sampling
por: Kim, Wonyoung
Publicado: (2025)
por: Kim, Wonyoung
Publicado: (2025)
Deep Q-Network (DQN) multi-agent reinforcement learning (MARL) for Stock Trading
por: Tidwell, John Christopher, et al.
Publicado: (2025)
por: Tidwell, John Christopher, et al.
Publicado: (2025)
SF-DQN: Provable Knowledge Transfer using Successor Feature for Deep Reinforcement Learning
por: Zhang, Shuai, et al.
Publicado: (2024)
por: Zhang, Shuai, et al.
Publicado: (2024)
Communication-Aware Reinforcement Learning for Cooperative Adaptive Cruise Control
por: Jiang, Sicong, et al.
Publicado: (2024)
por: Jiang, Sicong, et al.
Publicado: (2024)
CAP: A Context-Aware Neural Predictor for NAS
por: Ji, Han, et al.
Publicado: (2024)
por: Ji, Han, et al.
Publicado: (2024)
Beyond ReLU: Chebyshev-DQN for Enhanced Deep Q-Networks
por: Yazdannik, Saman, et al.
Publicado: (2025)
por: Yazdannik, Saman, et al.
Publicado: (2025)
An Arbitration Control for an Ensemble of Diversified DQN variants in Continual Reinforcement Learning
por: Jang, Wonseo, et al.
Publicado: (2025)
por: Jang, Wonseo, et al.
Publicado: (2025)
An Adaptive Dropout Approach for High-Dimensional Bayesian Optimization
por: Huang, Jundi, et al.
Publicado: (2025)
por: Huang, Jundi, et al.
Publicado: (2025)
Context-Aware Initialization for Reducing Generative Path Length in Diffusion Language Models
por: Miao, Tongyuan, et al.
Publicado: (2025)
por: Miao, Tongyuan, et al.
Publicado: (2025)
DGLight: DQN-Guided GRPO Fine-Tuning of Large Language Models for Traffic Signal Control
por: Yu, Chenbo
Publicado: (2026)
por: Yu, Chenbo
Publicado: (2026)
CM-DQN: A Value-Based Deep Reinforcement Learning Model to Simulate Confirmation Bias
por: Shen, Jiacheng, et al.
Publicado: (2024)
por: Shen, Jiacheng, et al.
Publicado: (2024)
ContextPilot: Fast Long-Context Inference via Context Reuse
por: Jiang, Yinsicheng, et al.
Publicado: (2025)
por: Jiang, Yinsicheng, et al.
Publicado: (2025)
Ejemplares similares
-
State-Aware IoT Scheduling Using Deep Q-Networks and Edge-Based Coordination
por: He, Qingyuan, et al.
Publicado: (2025) -
Joint Graph Convolution and Sequential Modeling for Scalable Network Traffic Estimation
por: Jiang, Nan, et al.
Publicado: (2025) -
Towards Robust Few-Shot Text Classification Using Transformer Architectures and Dual Loss Strategies
por: Han, Xu, et al.
Publicado: (2025) -
Dynamic Operating System Scheduling Using Double DQN: A Reinforcement Learning Approach to Task Optimization
por: Sun, Xiaoxuan, et al.
Publicado: (2025) -
GB-DQN: Gradient Boosted DQN Models for Non-stationary Reinforcement Learning
por: Lee, Chang-Hwan, et al.
Publicado: (2025)