Image de couverture de livre

Fast networked data selection via distributed smoothed quantile estimation

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Zhang, Xu, Vasconcelos, Marcos M.
Format:	Preprint
Publié:	2024
Sujets:	Systems and Control Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Fairness for distribution network operations and planning
par: de Carvalho, Pedro F. C., et autres
Publié: (2026)

Generalization of Compositional Tasks with Logical Specification via Implicit Planning
par: Xu, Duo, et autres
Publié: (2024)

Beyond the Bellman Fixed Point: Geometry and Fast Policy Identification in Value Iteration
par: Lee, Donghwan
Publié: (2026)

Refinement of Accelerated Demonstrations via Incremental Iterative Reference Learning Control for Fast Contact-Rich Imitation Learning
par: Yamane, Koki, et autres
Publié: (2026)

Convex neural network synthesis for robustness in the 1-norm
par: Drummond, Ross, et autres
Publié: (2024)

Mapping back and forth between model predictive control and neural networks
par: Drummond, Ross, et autres
Publié: (2024)

Mixed-Integer Optimal Control via Reinforcement Learning: A Case Study on Hybrid Electric Vehicle Energy Management
par: Xu, Jinming, et autres
Publié: (2023)

Efficient reformulations of ReLU deep neural networks for surrogate modelling in power system optimisation
par: Kumar, Yogesh Pipada Sunil, et autres
Publié: (2026)

One Request, Multiple Experts: LLM Orchestrates Domain Specific Models via Adaptive Task Routing
par: Yang, Xu, et autres
Publié: (2025)

Research on fault diagnosis of nuclear power first-second circuit based on hierarchical multi-granularity classification network
par: Chen, Jiangwen, et autres
Publié: (2024)

Smart Sampling Strategies for Wireless Industrial Data Acquisition
par: Soto, Marcos
Publié: (2025)

Multi-Robot Multi-Queue Control via Exhaustive Assignment Actor-Critic Learning
par: Merati, Mohammad, et autres
Publié: (2026)

Probabilistic energy forecasting through quantile regression in reproducing kernel Hilbert spaces
par: Pernigo, Luca, et autres
Publié: (2024)

Demand response for residential building heating: Effective Monte Carlo Tree Search control based on physics-informed neural networks
par: Pavirani, Fabio, et autres
Publié: (2023)

Networked Multiagent Safe Reinforcement Learning for Low-carbon Demand Management in Distribution Network
par: Zhang, Jichen, et autres
Publié: (2023)

Online parameter estimation for the Crazyflie quadcopter through an EM algorithm
par: Zhao, Yanhua
Publié: (2026)

Exploration of Multi-Element Collaborative Research and Application for Modern Power System Based on Generative Large Models
par: Cheng, Lu, et autres
Publié: (2025)

Two-Stage Active Distribution Network Voltage Control via LLM-RL Collaboration: A Hybrid Knowledge-Data-Driven Approach
par: Yang, Xu, et autres
Publié: (2026)

Latency-Aware Resource Allocation for Mobile Edge Generation and Computing via Deep Reinforcement Learning
par: Wu, Yinyu, et autres
Publié: (2024)

Networking-Aware Energy Efficiency in Agentic AI Inference: A Survey
par: Chen, Xiaojing, et autres
Publié: (2026)

Aleks: AI powered Multi Agent System for Autonomous Scientific Discovery via Data-Driven Approaches in Plant Science
par: Jin, Daoyuan, et autres
Publié: (2025)

Blackout Mitigation via Physics-guided RL
par: Dwivedi, Anmol, et autres
Publié: (2024)

FlightKooba: A Fast Interpretable FTP Model
par: Lu, Jing, et autres
Publié: (2025)

Intent-aligned Autonomous Spacecraft Guidance via Reasoning Models
par: Takubo, Yuji, et autres
Publié: (2026)

Structural Optimization of Lightweight Bipedal Robot via SERL
par: Cheng, Yi, et autres
Publié: (2024)

Multi-Task Semantic Communications via Large Models
par: Ni, Wanli, et autres
Publié: (2025)

Disentangling Uncertainty for Safe Social Navigation using Deep Reinforcement Learning
par: Flögel, Daniel, et autres
Publié: (2024)

Project resilience as network robustness
par: Piccolo, Sebastiano A., et autres
Publié: (2026)

Towards Autonomous Supply Chains: Definition, Characteristics, Conceptual Framework, and Autonomy Levels
par: Xu, Liming, et autres
Publié: (2023)

Approximate Model Predictive Control for Microgrid Energy Management via Imitation Learning
par: Liu, Changrui, et autres
Publié: (2025)

Formal Verification of Unknown Dynamical Systems via Gaussian Process Regression
par: Skovbekk, John, et autres
Publié: (2021)

KCLNet: Physics-Informed Power Flow Prediction via Constraints Projections
par: Dogoulis, Pantelis, et autres
Publié: (2025)

Physical spline for denoising object trajectory data by combining splines, ML feature regression and model knowledge
par: Torzewski, Jonas
Publié: (2025)

Safety-Critical Contextual Control via Online Riemannian Optimization with World Models
par: Li, Tongxin
Publié: (2026)

Automated Validation of Textual Constraints Against AutomationML via LLMs and SHACL
par: Westermann, Tom, et autres
Publié: (2025)

Robust Deep Reinforcement Learning for Inverter-based Volt-Var Control in Partially Observable Distribution Networks
par: Liu, Qiong, et autres
Publié: (2024)

Behavioral Generative Agents for Energy Operations
par: Chen, Cong, et autres
Publié: (2025)

A Dual-Positive Monotone Parameterization for Multi-Segment Bids and a Validity Assessment Framework for Reinforcement Learning Agent-based Simulation of Electricity Markets
par: Xu, Zunnan, et autres
Publié: (2026)

Learning-Augmented Power System Operations: A Unified Optimization View
par: Xu, Wangkun, et autres
Publié: (2025)

Deep Reinforcement Learning for Power Grid Multi-Stage Cascading Failure Mitigation
par: Meng, Bo, et autres
Publié: (2025)