Image de couverture de livre

Koopman Spectrum Nonlinear Regulators and Efficient Online Learning

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Ohnishi, Motoya, Ishikawa, Isao, Lowrey, Kendall, Ikeda, Masahiro, Kakade, Sham, Kawahara, Yoshinobu
Format:	Preprint
Publié:	2021
Sujets:	Machine Learning Robotics Systems and Control
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Signatures Meet Dynamic Programming: Generalizing Bellman Equations for Trajectory Following
par: Ohnishi, Motoya, et autres
Publié: (2023)

Koopman operators with intrinsic observables in rigged reproducing kernel Hilbert spaces
par: Ishikawa, Isao, et autres
Publié: (2024)

Dynamic Structure Estimation from Bandit Feedback using Nonvanishing Exponential Sums
par: Ohnishi, Motoya, et autres
Publié: (2022)

RoboKoop: Efficient Control Conditioned Representations from Visual Input in Robotics using Koopman Operator
par: Kumawat, Hemant, et autres
Publié: (2024)

KoopCast: Trajectory Forecasting via Koopman Operators
par: Lee, Jungjin, et autres
Publié: (2025)

Online Control-Informed Learning
par: Liang, Zihao, et autres
Publié: (2024)

Multi-Step Deep Koopman Network (MDK-Net) for Vehicle Control in Frenet Frame
par: Abtahi, Mohammad, et autres
Publié: (2025)

Online Intention Prediction via Control-Informed Learning
par: Zhou, Tianyu, et autres
Publié: (2026)

Data-Driven Predictive Control of Nonholonomic Robots Based on a Bilinear Koopman Realization: Data Does Not Replace Geometry
par: Rosenfelder, Mario, et autres
Publié: (2024)

Safe and Near-Optimal Control with Online Dynamics Learning
par: Prajapat, Manish, et autres
Publié: (2025)

Efficient Reinforcement Learning using Linear Koopman Dynamics for Nonlinear Robotic Systems
par: Hao, Wenjian, et autres
Publié: (2026)

Meta-Learning Online Dynamics Model Adaptation in Off-Road Autonomous Driving
par: Levy, Jacob, et autres
Publié: (2025)

Sim-to-Real Transfer of Deep Reinforcement Learning Agents for Online Coverage Path Planning
par: Jonnarth, Arvi, et autres
Publié: (2024)

Learning and Online Replication of Grasp Forces from Electromyography Signals for Prosthetic Finger Control
par: Arbaud, Robin, et autres
Publié: (2025)

Control Pneumatic Soft Bending Actuator with Online Learning Pneumatic Physical Reservoir Computing
par: Shen, Junyi, et autres
Publié: (2025)

Contraction Theory for Nonlinear Stability Analysis and Learning-based Control: A Tutorial Overview
par: Tsukamoto, Hiroyasu, et autres
Publié: (2021)

Introduction to Online Control
par: Hazan, Elad, et autres
Publié: (2022)

Learning Efficient Flocking Control based on Gibbs Random Fields
par: Zhang, Dengyu, et autres
Publié: (2025)

Online Adaptation for Flying Quadrotors in Tight Formations
par: Hsieh, Pei-An, et autres
Publié: (2025)

Denoising Diffusion-Based Control of Nonlinear Systems
par: Elamvazhuthi, Karthik, et autres
Publié: (2024)

Data-Driven Motion Planning for Uncertain Nonlinear Systems
par: Esmaeili, Babak, et autres
Publié: (2025)

Dynamic robotic cloth folding with efficient Koopman operator-based model predictive control
par: Caldarelli, Edoardo, et autres
Publié: (2026)

An Adaptive Grasping Force Tracking Strategy for Nonlinear and Time-Varying Object Behaviors
par: Cheng, Ziyang, et autres
Publié: (2024)

Population-aware Online Mirror Descent for Mean-Field Games with Common Noise by Deep Reinforcement Learning
par: Wu, Zida, et autres
Publié: (2025)

Real-Time Sampling-based Online Planning for Drone Interception
par: Ryou, Gilhyun, et autres
Publié: (2025)

Scalable Data-Driven Reachability Analysis and Control via Koopman Operators with Conformal Coverage Guarantees
par: Nath, Devesh, et autres
Publié: (2026)

Score Matching Diffusion Based Feedback Control and Planning of Nonlinear Systems
par: Elamvazhuthi, Karthik, et autres
Publié: (2025)

Iterative Tuning of Nonlinear Model Predictive Control for Robotic Manufacturing Tasks
par: Ingole, Deepak, et autres
Publié: (2025)

Enhancing Safety in Mixed Traffic: Learning-Based Modeling and Efficient Control of Autonomous and Human-Driven Vehicles
par: Wang, Jie, et autres
Publié: (2024)

Nonparametric Sparse Online Learning of the Koopman Operator
par: Hou, Boya, et autres
Publié: (2025)

FORESEE: Prediction with Expansion-Compression Unscented Transform for Online Policy Optimization
par: Parwana, Hardik, et autres
Publié: (2022)

Koopman-based Deep Learning for Nonlinear System Estimation
par: Sun, Zexin, et autres
Publié: (2024)

AirPilot: Interpretable PPO-based DRL Auto-Tuned Nonlinear PID Drone Controller for Robust Autonomous Flights
par: Zhang, Junyang, et autres
Publié: (2024)

Why and When Deep is Better than Shallow: Implementation-Agnostic State-Transition Model of Deep Learning
par: Sonoda, Sho, et autres
Publié: (2025)

Neural Coordination and Capacity Control for Inventory Management
par: Eisenach, Carson, et autres
Publié: (2024)

SigmaRL: A Sample-Efficient and Generalizable Multi-Agent Reinforcement Learning Framework for Motion Planning
par: Xu, Jianye, et autres
Publié: (2024)

BodyGen: Advancing Towards Efficient Embodiment Co-Design
par: Lu, Haofei, et autres
Publié: (2025)

Learning Koopman-based Stability Certificates for Unknown Nonlinear Systems
par: Zhou, Ruikun, et autres
Publié: (2024)

Efficient Stochastic Optimal Control through Approximate Bayesian Input Inference
par: Watson, Joe, et autres
Publié: (2021)

Computationally Efficient RL under Linear Bellman Completeness for Deterministic Dynamics
par: Wu, Runzhe, et autres
Publié: (2024)