Fine Tuning a Simulation-Driven Estimator
Fuente:
arXiv
Guardado en:
| Autores principales: | Lakshminarayanan, Braghadeesh, Guerrero, Margarita A., Rojas, Cristian R. |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
A Statistical Decision-Theoretical Perspective on the Two-Stage Approach to Parameter Estimation
por: Lakshminarayanan, Braghadeesh, et al.
Publicado: (2022)
por: Lakshminarayanan, Braghadeesh, et al.
Publicado: (2022)
Data-Driven Estimation of Structured Singular Values
por: Guerrero, Margarita A., et al.
Publicado: (2025)
por: Guerrero, Margarita A., et al.
Publicado: (2025)
A Metropolis-Adjusted Langevin Algorithm for Sampling Jeffreys Prior
por: Shi, Yibo, et al.
Publicado: (2025)
por: Shi, Yibo, et al.
Publicado: (2025)
On Asymptotic Analysis of the Two-Stage Approach: Towards Data-Driven Parameter Estimation
por: Lakshminarayanan, Braghadeesh, et al.
Publicado: (2025)
por: Lakshminarayanan, Braghadeesh, et al.
Publicado: (2025)
Gain-Scheduled Data-Enabled Predictive Control: A DeePC Approach for Nonlinear Systems
por: Guerrero, Margarita A., et al.
Publicado: (2025)
por: Guerrero, Margarita A., et al.
Publicado: (2025)
Approximate Linear Programming for Decentralized Policy Iteration in Cooperative Multi-agent Markov Decision Processes
por: Mandal, Lakshmi, et al.
Publicado: (2023)
por: Mandal, Lakshmi, et al.
Publicado: (2023)
Fine-Tuned Language Models as Space Systems Controllers
por: Zucchelli, Enrico M., et al.
Publicado: (2025)
por: Zucchelli, Enrico M., et al.
Publicado: (2025)
Gradient-Informed Monte Carlo Fine-Tuning of Diffusion Models for Low-Thrust Trajectory Design
por: Graebner, Jannik, et al.
Publicado: (2025)
por: Graebner, Jannik, et al.
Publicado: (2025)
Safety and optimality in learning-based control at low computational cost
por: Baumann, Dominik, et al.
Publicado: (2025)
por: Baumann, Dominik, et al.
Publicado: (2025)
Simulation-Aided Policy Tuning for Black-Box Robot Learning
por: He, Shiming, et al.
Publicado: (2024)
por: He, Shiming, et al.
Publicado: (2024)
AirPilot: Interpretable PPO-based DRL Auto-Tuned Nonlinear PID Drone Controller for Robust Autonomous Flights
por: Zhang, Junyang, et al.
Publicado: (2024)
por: Zhang, Junyang, et al.
Publicado: (2024)
A Hybrid Data-Driven Algorithm for Real-Time Friction Force Estimation in Hydraulic Cylinders
por: Jamshidi, Mohamad Amin, et al.
Publicado: (2026)
por: Jamshidi, Mohamad Amin, et al.
Publicado: (2026)
Applying Fine-Tuned LLMs for Reducing Data Needs in Load Profile Analysis
por: Hu, Yi, et al.
Publicado: (2024)
por: Hu, Yi, et al.
Publicado: (2024)
Process Knowledge Driven Change Point Detection for Automated Calibration of Discrete Event Simulation Models Using Machine Learning
por: Yildirim, Suleyman, et al.
Publicado: (2020)
por: Yildirim, Suleyman, et al.
Publicado: (2020)
Tuning the burn-in phase in training recurrent neural networks improves their performance
por: Schiller, Julian D., et al.
Publicado: (2026)
por: Schiller, Julian D., et al.
Publicado: (2026)
Uncertainty Quantification of Data-Driven Output Predictors in the Output Error Setting
por: Kaviani, Farzan, et al.
Publicado: (2024)
por: Kaviani, Farzan, et al.
Publicado: (2024)
Structural System Identification via Validation and Adaptation
por: López, Cristian, et al.
Publicado: (2025)
por: López, Cristian, et al.
Publicado: (2025)
RobustNeuralNetworks.jl: a Package for Machine Learning and Data-Driven Control with Certified Robustness
por: Barbara, Nicholas H., et al.
Publicado: (2023)
por: Barbara, Nicholas H., et al.
Publicado: (2023)
Local Bayesian Optimization for Controller Tuning with Crash Constraints
por: von Rohr, Alexander, et al.
Publicado: (2024)
por: von Rohr, Alexander, et al.
Publicado: (2024)
Bayes and Biased Estimators Without Hyper-parameter Estimation: Comparable Performance to the Empirical-Bayes-Based Regularized Estimator
por: Ju, Yue, et al.
Publicado: (2025)
por: Ju, Yue, et al.
Publicado: (2025)
Data-Driven Prediction and Control of Hammerstein-Wiener Systems with Implicit Gaussian Processes
por: Yin, Mingzhou, et al.
Publicado: (2025)
por: Yin, Mingzhou, et al.
Publicado: (2025)
Parameter-Adaptive Approximate MPC: Tuning Neural-Network Controllers without Retraining
por: Hose, Henrik, et al.
Publicado: (2024)
por: Hose, Henrik, et al.
Publicado: (2024)
Cavity Duplexer Tuning with 1d Resnet-like Neural Networks
por: Raskovalov, Anton
Publicado: (2025)
por: Raskovalov, Anton
Publicado: (2025)
Real-Time AI-Driven Milling Digital Twin Towards Extreme Low-Latency
por: Liu, Wenyi, et al.
Publicado: (2025)
por: Liu, Wenyi, et al.
Publicado: (2025)
Online Location Planning for AI-Defined Vehicles: Optimizing Joint Tasks of Order Serving and Spatio-Temporal Heterogeneous Model Fine-Tuning
por: Zheng, Bokeng, et al.
Publicado: (2025)
por: Zheng, Bokeng, et al.
Publicado: (2025)
Estimation Sample Complexity of a Class of Nonlinear Continuous-time Systems
por: Kuang, Simon, et al.
Publicado: (2023)
por: Kuang, Simon, et al.
Publicado: (2023)
Differentiable Discrete Event Simulation for Queuing Network Control
por: Che, Ethan, et al.
Publicado: (2024)
por: Che, Ethan, et al.
Publicado: (2024)
An Exploration-free Method for a Linear Stochastic Bandit Driven by a Linear Gaussian Dynamical System
por: Gornet, Jonathan, et al.
Publicado: (2025)
por: Gornet, Jonathan, et al.
Publicado: (2025)
Data-Driven Estimation of Vinnicombe metric
por: Guerrero, Margarita A., et al.
Publicado: (2026)
por: Guerrero, Margarita A., et al.
Publicado: (2026)
Data-Driven Adversarial Online Control for Unknown Linear Systems
por: Liu, Zishun, et al.
Publicado: (2023)
por: Liu, Zishun, et al.
Publicado: (2023)
QGym: Scalable Simulation and Benchmarking of Queuing Network Controllers
por: Chen, Haozhe, et al.
Publicado: (2024)
por: Chen, Haozhe, et al.
Publicado: (2024)
Introducing AI-Driven IoT Energy Management Framework
por: Mruthyunjaya, Shivani, et al.
Publicado: (2025)
por: Mruthyunjaya, Shivani, et al.
Publicado: (2025)
Data-Driven Observability Analysis for Nonlinear Stochastic Systems
por: Massiani, Pierre-François, et al.
Publicado: (2023)
por: Massiani, Pierre-François, et al.
Publicado: (2023)
AI-Driven Predictive Maintenance with Environmental Context Integration for Connected Vehicles: Simulation, Benchmarking, and Field Validation
por: Khemani, Kushal, et al.
Publicado: (2026)
por: Khemani, Kushal, et al.
Publicado: (2026)
The Silence that Speaks: Neural Estimation via Communication Gaps
por: Aggarwal, Shubham, et al.
Publicado: (2025)
por: Aggarwal, Shubham, et al.
Publicado: (2025)
Gradient Estimation and Variance Reduction in Stochastic and Deterministic Models
por: Keane, Ronan
Publicado: (2024)
por: Keane, Ronan
Publicado: (2024)
Data-Driven Stochastic Optimal Control in Reproducing Kernel Hilbert Spaces
por: Hoischen, Nicolas, et al.
Publicado: (2024)
por: Hoischen, Nicolas, et al.
Publicado: (2024)
Symplectic Inductive Bias for Data-Driven Target Reachability in Hamiltonian Systems
por: Ouyang, Zhuo, et al.
Publicado: (2026)
por: Ouyang, Zhuo, et al.
Publicado: (2026)
Simulation of a closed-loop dc-dc converter using a physics-informed neural network-based model
por: Coulombe, Marc-Antoine, et al.
Publicado: (2025)
por: Coulombe, Marc-Antoine, et al.
Publicado: (2025)
Transfer Learning for Control Systems via Neural Simulation Relations
por: Nadali, Alireza, et al.
Publicado: (2024)
por: Nadali, Alireza, et al.
Publicado: (2024)
Ejemplares similares
-
A Statistical Decision-Theoretical Perspective on the Two-Stage Approach to Parameter Estimation
por: Lakshminarayanan, Braghadeesh, et al.
Publicado: (2022) -
Data-Driven Estimation of Structured Singular Values
por: Guerrero, Margarita A., et al.
Publicado: (2025) -
A Metropolis-Adjusted Langevin Algorithm for Sampling Jeffreys Prior
por: Shi, Yibo, et al.
Publicado: (2025) -
On Asymptotic Analysis of the Two-Stage Approach: Towards Data-Driven Parameter Estimation
por: Lakshminarayanan, Braghadeesh, et al.
Publicado: (2025) -
Gain-Scheduled Data-Enabled Predictive Control: A DeePC Approach for Nonlinear Systems
por: Guerrero, Margarita A., et al.
Publicado: (2025)