:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Hengyu, Zhang, Cheraghy, Maryam, Wei, Liu, Farhadi, Armin, Soltanpour, Meysam, Zhuoqing, Zhong
Format:	Preprint
Published:	2026
Subjects:	Systems and Control Machine Learning
Online Access:	https://arxiv.org/abs/2602.05644
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Explainable AI for UAV Mobility Management: A Deep Q-Network Approach for Handover Minimization
by: Meer, Irshad A., et al.
Published: (2025)

Compressed Gradient Tracking for Decentralized Optimization Over General Directed Networks
by: Song, Zhuoqing, et al.
Published: (2021)

Neural Approximators for Low-Thrust Trajectory Transfer Cost and Reachability
by: Zhang, Zhong, et al.
Published: (2025)

Multi-Step Deep Koopman Network (MDK-Net) for Vehicle Control in Frenet Frame
by: Abtahi, Mohammad, et al.
Published: (2025)

Non-iterative Optimization of Trajectory and Radio Resource for Aerial Network
by: Lyu, Hyeonsu, et al.
Published: (2024)

CGD: Constraint-Guided Diffusion Policies for UAV Trajectory Planning
by: Kondo, Kota, et al.
Published: (2024)

Improved Scalable Lipschitz Bounds for Deep Neural Networks
by: Syed, Usman, et al.
Published: (2025)

Semantic-Aware Edge Intelligence for UAV Handover in 6G Networks
by: Al-Hameed, Aubida A., et al.
Published: (2025)

Deep Q-Learning with Gradient Target Tracking
by: Park, Bum Geun, et al.
Published: (2025)

Controller Synthesis from Noisy-Input Noisy-Output Data
by: Li, Lidong, et al.
Published: (2024)

HardFlow: Hard-Constrained Sampling for Flow-Matching Models via Trajectory Optimization
by: Li, Zeyang, et al.
Published: (2025)

Model-Based Diffusion for Trajectory Optimization
by: Pan, Chaoyi, et al.
Published: (2024)

Deterministic Trajectory Optimization through Probabilistic Optimal Control
by: Filabadi, Mohammad Mahmoudi, et al.
Published: (2024)

Structured Deep Neural Network-Based Backstepping Trajectory Tracking Control for Lagrangian Systems
by: Qian, Jiajun, et al.
Published: (2024)

Learning with Dynamics: Autonomous Regulation of UAV Based Communication Networks with Dynamic UAV Crew
by: Zhang, Ran, et al.
Published: (2024)

Improving Performance of Spike-based Deep Q-Learning using Ternary Neurons
by: Ghoreishee, Aref, et al.
Published: (2025)

Hierarchical LLM-Driven Control for HAPS-Assisted UAV Networks: Joint Optimization of Flight and Connectivity
by: Yan, Zijiang, et al.
Published: (2026)

Global Search of Optimal Spacecraft Trajectories using Amortization and Deep Generative Models
by: Beeson, Ryne, et al.
Published: (2024)

HONEST-CAV: Hierarchical Optimization of Network Signals and Trajectories for Connected and Automated Vehicles with Multi-Agent Reinforcement Learning
by: Zhang, Ziyan, et al.
Published: (2026)

Resource Allocation and Beamforming in FIM-Assisted BS and STAR-BD-RIS-Aided NOMA: An AIW-Meta-Learning Approach
by: Farhadi, Armin, et al.
Published: (2025)

Improving the Region of Attraction of a Multi-rotor UAV by Estimating Unknown Disturbances
by: Atapattu, Sachithra, et al.
Published: (2024)

Lossy Cooperative UAV Relaying Networks: Outage Probability Analysis and Location Optimization
by: Lian, Ya, et al.
Published: (2024)

Personalized Federated Learning by Energy-Efficient UAV Communications
by: Guo, Shiqian, et al.
Published: (2026)

Fitted Q-Iteration via Max-Plus-Linear Approximation
by: Liu, Y., et al.
Published: (2024)

Solar and Wind Power Forecasting: A Comparative Review of LSTM, Random Forest, and XGBoost Models
by: Mollasalehi, Afsaneh, et al.
Published: (2025)

Solar Cars: A Comprehensive Review
by: Mollasalehi, Afsaneh, et al.
Published: (2026)

Multi-Year Maintenance Planning for Large-Scale Infrastructure Systems: A Novel Network Deep Q-Learning Approach
by: Fard, Amir, et al.
Published: (2025)

AoI-Aware Task Offloading and Transmission Optimization for Industrial IoT Networks: A Branching Deep Reinforcement Learning Approach
by: Chen, Yuang, et al.
Published: (2025)

Statistical Contraction for Chance-Constrained Trajectory Optimization of Non-Gaussian Stochastic Systems
by: D'Silva, Rihan Aaron, et al.
Published: (2026)

Interpolation Conditions for Data Consistency and Prediction in Noisy Linear Systems
by: Vanelli, Martina, et al.
Published: (2025)

Universal Approximation Power of Deep Residual Neural Networks via Nonlinear Control Theory
by: Tabuada, Paulo, et al.
Published: (2020)

Symbolic Regression on Sparse and Noisy Data with Gaussian Processes
by: Hsin, Junette, et al.
Published: (2023)

Can an Actor-Critic Optimization Framework Improve Analog Design Optimization?
by: Dutta, Sounak, et al.
Published: (2026)

Algorithm-Relative Trajectory Valuation in Policy Gradient Control
by: Li, Shihao, et al.
Published: (2025)

Direct Data Driven Control Using Noisy Measurements
by: Esmzad, Ramin, et al.
Published: (2025)

Improving Spatial Allocation for Energy System Coupling with Graph Neural Networks
by: Mu, Xuanhao, et al.
Published: (2026)

Uniform Error Bounds for Gaussian Process Regression with Application to Safe Control
by: Lederer, Armin, et al.
Published: (2019)

Learning to Coordinate: Distributed Meta-Trajectory Optimization Via Differentiable ADMM-DDP
by: Wang, Bingheng, et al.
Published: (2025)

Learning-Based Optimal Control with Performance Guarantees for Unknown Systems with Latent States
by: Lefringhausen, Robert, et al.
Published: (2023)

Physics-Driven Data Generation for Contact-Rich Manipulation via Trajectory Optimization
by: Yang, Lujie, et al.
Published: (2025)