:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Ohnishi, Motoya, Ishikawa, Isao, Lowrey, Kendall, Ikeda, Masahiro, Kakade, Sham, Kawahara, Yoshinobu
Format:	Preprint
Published:	2021
Subjects:	Machine Learning Robotics Systems and Control
Online Access:	https://arxiv.org/abs/2106.15775
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Signatures Meet Dynamic Programming: Generalizing Bellman Equations for Trajectory Following
by: Ohnishi, Motoya, et al.
Published: (2023)

Koopman operators with intrinsic observables in rigged reproducing kernel Hilbert spaces
by: Ishikawa, Isao, et al.
Published: (2024)

Dynamic Structure Estimation from Bandit Feedback using Nonvanishing Exponential Sums
by: Ohnishi, Motoya, et al.
Published: (2022)

RoboKoop: Efficient Control Conditioned Representations from Visual Input in Robotics using Koopman Operator
by: Kumawat, Hemant, et al.
Published: (2024)

KoopCast: Trajectory Forecasting via Koopman Operators
by: Lee, Jungjin, et al.
Published: (2025)

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

Online Control-Informed Learning
by: Liang, Zihao, et al.
Published: (2024)

Data-Driven Predictive Control of Nonholonomic Robots Based on a Bilinear Koopman Realization: Data Does Not Replace Geometry
by: Rosenfelder, Mario, et al.
Published: (2024)

Online Intention Prediction via Control-Informed Learning
by: Zhou, Tianyu, et al.
Published: (2026)

Safe and Near-Optimal Control with Online Dynamics Learning
by: Prajapat, Manish, et al.
Published: (2025)

Contraction Theory for Nonlinear Stability Analysis and Learning-based Control: A Tutorial Overview
by: Tsukamoto, Hiroyasu, et al.
Published: (2021)

Meta-Learning Online Dynamics Model Adaptation in Off-Road Autonomous Driving
by: Levy, Jacob, et al.
Published: (2025)

Sim-to-Real Transfer of Deep Reinforcement Learning Agents for Online Coverage Path Planning
by: Jonnarth, Arvi, et al.
Published: (2024)

Learning and Online Replication of Grasp Forces from Electromyography Signals for Prosthetic Finger Control
by: Arbaud, Robin, et al.
Published: (2025)

Control Pneumatic Soft Bending Actuator with Online Learning Pneumatic Physical Reservoir Computing
by: Shen, Junyi, et al.
Published: (2025)

Introduction to Online Control
by: Hazan, Elad, et al.
Published: (2022)

Efficient Reinforcement Learning using Linear Koopman Dynamics for Nonlinear Robotic Systems
by: Hao, Wenjian, et al.
Published: (2026)

Denoising Diffusion-Based Control of Nonlinear Systems
by: Elamvazhuthi, Karthik, et al.
Published: (2024)

Scalable Data-Driven Reachability Analysis and Control via Koopman Operators with Conformal Coverage Guarantees
by: Nath, Devesh, et al.
Published: (2026)

Dynamic robotic cloth folding with efficient Koopman operator-based model predictive control
by: Caldarelli, Edoardo, et al.
Published: (2026)

Data-Driven Motion Planning for Uncertain Nonlinear Systems
by: Esmaeili, Babak, et al.
Published: (2025)

Learning Efficient Flocking Control based on Gibbs Random Fields
by: Zhang, Dengyu, et al.
Published: (2025)

Online Adaptation for Flying Quadrotors in Tight Formations
by: Hsieh, Pei-An, et al.
Published: (2025)

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

Neural Coordination and Capacity Control for Inventory Management
by: Eisenach, Carson, et al.
Published: (2024)

Score Matching Diffusion Based Feedback Control and Planning of Nonlinear Systems
by: Elamvazhuthi, Karthik, et al.
Published: (2025)

Iterative Tuning of Nonlinear Model Predictive Control for Robotic Manufacturing Tasks
by: Ingole, Deepak, et al.
Published: (2025)

An Adaptive Grasping Force Tracking Strategy for Nonlinear and Time-Varying Object Behaviors
by: Cheng, Ziyang, et al.
Published: (2024)

Real-Time Sampling-based Online Planning for Drone Interception
by: Ryou, Gilhyun, et al.
Published: (2025)

Why and When Deep is Better than Shallow: Implementation-Agnostic State-Transition Model of Deep Learning
by: Sonoda, Sho, et al.
Published: (2025)

FORESEE: Prediction with Expansion-Compression Unscented Transform for Online Policy Optimization
by: Parwana, Hardik, et al.
Published: (2022)

Enhancing Safety in Mixed Traffic: Learning-Based Modeling and Efficient Control of Autonomous and Human-Driven Vehicles
by: Wang, Jie, et al.
Published: (2024)

AirPilot: Interpretable PPO-based DRL Auto-Tuned Nonlinear PID Drone Controller for Robust Autonomous Flights
by: Zhang, Junyang, et al.
Published: (2024)

SigmaRL: A Sample-Efficient and Generalizable Multi-Agent Reinforcement Learning Framework for Motion Planning
by: Xu, Jianye, et al.
Published: (2024)

Nonparametric Sparse Online Learning of the Koopman Operator
by: Hou, Boya, et al.
Published: (2025)

Generalized Stochastic Resilience for Early Warning Signals Based on Koopman Operator
by: Miyauchi, Yuta, et al.
Published: (2025)

Koopman-based Deep Learning for Nonlinear System Estimation
by: Sun, Zexin, et al.
Published: (2024)

Dynamics Harmonic Analysis of Robotic Systems: Application in Data-Driven Koopman Modelling
by: Ordoñez-Apraez, Daniel, et al.
Published: (2023)

BodyGen: Advancing Towards Efficient Embodiment Co-Design
by: Lu, Haofei, et al.
Published: (2025)

Efficient Stochastic Optimal Control through Approximate Bayesian Input Inference
by: Watson, Joe, et al.
Published: (2021)