Cover Image

Adaptive Online Non-stochastic Control

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Mhaisen, Naram, Iosifidis, George
Format:	Preprint
Published:	2023
Subjects:	Optimization and Control Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Optimistic Online Non-stochastic Control via FTRL
by: Mhaisen, Naram, et al.
Published: (2024)

Partially Lazy Gradient Descent for Smoothed Online Learning
by: Mhaisen, Naram, et al.
Published: (2026)

On the Dynamic Regret of Following the Regularized Leader: Optimism with History Pruning
by: Mhaisen, Naram, et al.
Published: (2025)

Feasible Pairings for Decentralized Integral Controllability of Non-Square Systems
by: Tong, Yuhao, et al.
Published: (2026)

Q-Learning for Stochastic Control under General Information Structures and Non-Markovian Environments
by: Kara, Ali Devran, et al.
Published: (2023)

Using deep learning to construct stochastic local search SAT solvers with performance bounds
by: Kramer, Maximilian J., et al.
Published: (2023)

Offline Supervised Learning V.S. Online Direct Policy Optimization: A Comparative Study and A Unified Training Paradigm for Neural Network-Based Optimal Feedback Control
by: Zhao, Yue, et al.
Published: (2022)

A deep learning method for solving stochastic optimal control problems driven by fully-coupled FBSDEs
by: Ji, Shaolin, et al.
Published: (2022)

Large-scale Online Ridesharing: The Effect of Assignment Optimality on System Performance
by: Fiedler, David, et al.
Published: (2023)

Stability-Preserving Online Adaptation of Neural Closed-loop Maps
by: Saccani, Danilo, et al.
Published: (2026)

GANQ: GPU-Adaptive Non-Uniform Quantization for Large Language Models
by: Zhao, Pengxiang, et al.
Published: (2025)

Adaptive Stabilization Based on Machine Learning for Column Generation
by: Shen, Yunzhuang, et al.
Published: (2024)

Optimal Control Operator Perspective and a Neural Adaptive Spectral Method
by: Feng, Mingquan, et al.
Published: (2024)

Aerial Inspection Behaviors via RL-based Quadrotor Control for Under-canopy Forest Environments
by: Suarez, Fausto Mauricio Lagos, et al.
Published: (2026)

Steady-state Based Approach to Online Non-stochastic Control
by: Hebbar, Vijeth, et al.
Published: (2026)

IoT-based Fresh Produce Supply Chain Under Uncertainty: An Adaptive Optimization Framework
by: Seth, Chirag, et al.
Published: (2025)

Optimistic Learning for Communication Networks
by: Iosifidis, George, et al.
Published: (2025)

Unifying Controller Design for Stabilizing Nonlinear Systems with Norm-Bounded Control Inputs
by: Li, Ming, et al.
Published: (2024)

Lyapunov Function Consistent Adaptive Network Signal Control with Back Pressure and Reinforcement Learning
by: Ma, Chaolun, et al.
Published: (2022)

A Penalty-Based Guardrail Algorithm for Non-Decreasing Optimization with Inequality Constraints
by: Stepanovic, Ksenija, et al.
Published: (2024)

A Robust Algorithm for Non-IID Machine Learning Problems with Convergence Analysis
by: Xu, Qing, et al.
Published: (2025)

Online Submodular Maximization via Online Convex Optimization
by: Salem, Tareq Si, et al.
Published: (2023)

Sinkhorn doubly stochastic attention rank decay analysis
by: Lapenna, Michela, et al.
Published: (2026)

Deep Reinforcement Learning Optimization for Uncertain Nonlinear Systems via Event-Triggered Robust Adaptive Dynamic Programming
by: Bai, Ningwei, et al.
Published: (2025)

Asynchronous Distributed Reinforcement Learning for LQR Control via Zeroth-Order Block Coordinate Descent
by: Jing, Gangshan, et al.
Published: (2021)

Safe Control and Learning Using Generalized Action Governor
by: Fang, Peiyuan, et al.
Published: (2022)

Nonlinear Control Allocation: A Learning Based Approach
by: Khan, Hafiz Zeeshan Iqbal, et al.
Published: (2022)

Policy Optimization for PDE Control with a Warm Start
by: Zhang, Xiangyuan, et al.
Published: (2024)

DASA: Delay-Adaptive Multi-Agent Stochastic Approximation
by: Fabbro, Nicolò Dal, et al.
Published: (2024)

Approximate Information States for Worst-Case Control and Learning in Uncertain Systems
by: Dave, Aditya, et al.
Published: (2023)

Distributionally Robust Control with End-to-End Statistically Guaranteed Metric Learning
by: Wu, Jingyi, et al.
Published: (2025)

Classical and Deep Reinforcement Learning Inventory Control Policies for Pharmaceutical Supply Chains with Perishability and Non-Stationarity
by: Stranieri, Francesco, et al.
Published: (2025)

Approximate Model Predictive Control for Microgrid Energy Management via Imitation Learning
by: Liu, Changrui, et al.
Published: (2025)

Model Predictive Control and Reinforcement Learning: A Unified Framework Based on Dynamic Programming
by: Bertsekas, Dimitri P.
Published: (2024)

Multi-Robot Multi-Queue Control via Exhaustive Assignment Actor-Critic Learning
by: Merati, Mohammad, et al.
Published: (2026)

An Improved Last-Iterate Convergence Rate for Anchored Gradient Descent Ascent
by: Surina, Anja, et al.
Published: (2026)

Solving the Pod Repositioning Problem with Deep Reinforced Adaptive Large Neighborhood Search
by: Xie, Lin, et al.
Published: (2025)

Nonlinear Non-Gaussian Density Steering with Input and Noise Channel Mismatch: Sinkhorn with Memory for Solving the Control-affine Schrödinger Bridge Problem
by: Bondar, Georgiy A., et al.
Published: (2026)

Online Scheduling for LLM Inference with KV Cache Constraints
by: Jaillet, Patrick, et al.
Published: (2025)

Adaptive Neural-Operator Backstepping Control of a Benchmark Hyperbolic PDE
by: Lamarque, Maxence, et al.
Published: (2024)