On the public citation graph

Model-Based Imitation Learning from Observation for Input Estimation in Monitored Systems

https://doi.org/10.2139/ssrn.4888238
0 signed · 77 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/stc.2660openalex-snapshot
Vibration‐based monitoring of a small‐scale wind turbine blade under varying climate conditions. Part I: An experimental benchmark
inferredcites →https://doi.org/10.1007/978-1-4757-4321-0openalex-snapshot
The Cross-Entropy Method
inferredcites →https://doi.org/10.1007/978-3-031-37003-8_21openalex-snapshot
A Spatio-Temporal Model for Response and Distributed Wave Load Estimation on Offshore Wind Turbines
inferredcites →https://doi.org/10.1007/978-3-319-25232-2_13openalex-snapshot
Learning from Demonstration
inferredcites →https://doi.org/10.1007/978-3-540-75538-8_7openalex-snapshot
Efficient Selectivity and Backup Operators in Monte-Carlo Tree Search
inferredcites →https://doi.org/10.1007/978-3-642-18324-9_5openalex-snapshot
Partially Observable Markov Decision Processes
inferredcites →https://doi.org/10.1007/978-3-658-40442-0_9openalex-snapshot
Generative Adversarial Nets
inferredcites →https://doi.org/10.1007/bf00992698openalex-snapshot
Q-learning
inferredcites →https://doi.org/10.1016/b978-0-444-53859-8.00003-5openalex-snapshot
The Cross-Entropy Method for Optimization
inferredcites →https://doi.org/10.1016/j.automatica.2006.11.016openalex-snapshot
Unbiased minimum-variance input and state estimation for linear discrete-time systems with direct feedthrough
inferredcites →https://doi.org/10.1016/j.automatica.2019.01.011openalex-snapshot
Deadbeat unknown-input state estimation and input reconstruction for linear discrete-time systems
inferredcites →https://doi.org/10.1016/j.jsv.2014.02.025openalex-snapshot
Review of force reconstruction techniques
inferredcites →https://doi.org/10.1016/j.jsv.2021.116690openalex-snapshot
Subspace identification of bridge dynamics via traversing vehicle measurements
inferredcites →https://doi.org/10.1016/j.ymssp.2011.09.025openalex-snapshot
An augmented Kalman filter for force identification in structural dynamics
inferredcites →https://doi.org/10.1016/j.ymssp.2014.07.018openalex-snapshot
Design of sensor networks for instantaneous inversion of modally reduced order models in structural dynamics
inferredcites →https://doi.org/10.1016/j.ymssp.2015.02.001openalex-snapshot
A dual Kalman filter approach for state estimation via output-only acceleration measurements
inferredcites →https://doi.org/10.1016/j.ymssp.2015.07.025openalex-snapshot
Joint input-state estimation in structural dynamics
inferredcites →https://doi.org/10.1016/j.ymssp.2019.02.040openalex-snapshot
Input-state-parameter estimation of structural systems from limited output information
inferredcites →https://doi.org/10.1016/j.ymssp.2019.03.048openalex-snapshot
A Gaussian process latent force model for joint input-state estimation in linear structural systems
inferredcites →https://doi.org/10.1016/j.ymssp.2019.05.010openalex-snapshot
Observability of nonlinear systems with unmeasured inputs
inferredcites →https://doi.org/10.1016/j.ymssp.2019.106580openalex-snapshot
On the application of Gaussian process latent force models for joint input-state-parameter estimation: With a view to Bayesian operational identification
inferredcites →https://doi.org/10.1016/j.ymssp.2020.106722openalex-snapshot
Road profile estimation and half-car model identification through the automated processing of smartphone data
inferredcites →https://doi.org/10.1016/j.ymssp.2020.106993openalex-snapshot
Observability of modally reduced order models with unknown parameters
inferredcites →https://doi.org/10.1016/j.ymssp.2021.108602openalex-snapshot
A Bayesian Expectation-Maximization (BEM) methodology for joint input-state estimation and virtual sensing of structures
inferredcites →https://doi.org/10.1016/j.ymssp.2023.110488openalex-snapshot
Virtual sensing of subsoil strain response in monopile-based offshore wind turbines via Gaussian process latent force models
inferredcites →https://doi.org/10.1016/j.ymssp.2024.111303openalex-snapshot
Assessment of alternative covariance functions for joint input-state estimation via Gaussian Process latent force models in structural dynamics
inferredcites →https://doi.org/10.1016/s0004-3702(98)00023-xopenalex-snapshot
Planning and acting in partially observable stochastic domains
inferredcites →https://doi.org/10.1016/s0005-1098(96)00217-8openalex-snapshot
Unbiased minimum variance estimation for systems with unknown exogenous inputs
inferredcites →https://doi.org/10.1016/s0005-1098(98)00021-1openalex-snapshot
Input Observability and Input Reconstruction
inferredcites →https://doi.org/10.1016/s0925-2312(00)00324-6openalex-snapshot
Reinforcement Learning: An Introduction
inferredcites →https://doi.org/10.1080/00423114.2018.1524151openalex-snapshot
Road roughness estimation based on discrete Kalman filter with unknown input
inferredcites →https://doi.org/10.1093/oso/9780198538677.003.0006openalex-snapshot
A framework for behavioural cloning
inferredcites →https://doi.org/10.1109/9.746275openalex-snapshot
State observers for discrete-time linear systems with unknown inputs
inferredcites →https://doi.org/10.1109/cdc.2005.1583324openalex-snapshot
On Delayed Observers for Linear Systems with Unknown Inputs
inferredcites →https://doi.org/10.1109/icra.2015.7139503openalex-snapshot
An online and approximate solver for POMDPs with continuous action space
inferredcites →https://doi.org/10.1109/icra.2018.8462891openalex-snapshot
Time-Contrastive Networks: Self-Supervised Learning from Video
inferredcites →https://doi.org/10.1109/icra.2018.8462901openalex-snapshot
Imitation from Observation: Learning to Imitate Behaviors from Raw Video via Context Translation
inferredcites →https://doi.org/10.1109/icra.2018.8463189openalex-snapshot
Neural Network Dynamics for Model-Based Deep Reinforcement Learning with Model-Free Fine-Tuning
inferredcites →https://doi.org/10.1109/irds.2002.1041635openalex-snapshot
Humanoid robot learning and game playing using PC-based vision
inferredcites →https://doi.org/10.1109/iros.2001.976259openalex-snapshot
Trajectory formation for imitation with nonlinear dynamical systems
inferredcites →https://doi.org/10.1109/mcs.2017.2674439openalex-snapshot
Observers with Dual Spatially Separated Sensors for Enhanced Estimation: Industrial, Automotive, and Biomedical Applications
inferredcites →https://doi.org/10.1109/robot.1997.614389openalex-snapshot
Learning tasks from a single demonstration
inferredcites →https://doi.org/10.1109/robot.2002.1014739openalex-snapshot
Movement imitation with nonlinear dynamical systems in humanoid robots
inferredcites →https://doi.org/10.1109/tac.1969.1099133openalex-snapshot
Invertibility of linear time-invariant dynamical systems
inferredcites →https://doi.org/10.1109/tac.1969.1099169openalex-snapshot
Inversion of multivariable linear systems
inferredcites →https://doi.org/10.1109/tac.1979.1102181openalex-snapshot
Invertibility of multivariable nonlinear control systems
inferredcites →https://doi.org/10.1109/tac.1983.1103348openalex-snapshot
Invertibility of nonlinear analytic single-input systems
inferredcites →https://doi.org/10.1109/tac.2006.890371openalex-snapshot
Delayed Observers for Linear Systems With Unknown Inputs
inferredcites →https://doi.org/10.1137/0331046openalex-snapshot
A Linear Algebraic Framework for the Analysis of Discrete-Time Nonlinear Systems
inferredcites →https://doi.org/10.1177/1077546315617672openalex-snapshot
Experimental validation of the Kalman-type filters for online and real-time state and input estimation
inferredcites →https://doi.org/10.1177/14759217231179912openalex-snapshot
Neural extended Kalman filters for learning and predicting dynamics of structural systems
inferredcites →https://doi.org/10.1287/moor.12.3.441openalex-snapshot
The Complexity of Markov Decision Processes
inferredcites →https://doi.org/10.15607/rss.2017.xiii.050openalex-snapshot
Unsupervised Perceptual Rewards for Imitation Learning
inferredcites →https://doi.org/10.1561/2200000086openalex-snapshot
Model-based Reinforcement Learning: A Survey
inferredcites →https://doi.org/10.1561/2300000053openalex-snapshot
An Algorithmic Perspective on Imitation Learning
inferredcites →https://doi.org/10.1561/9781638280576openalex-snapshot
Model-based Reinforcement Learning: A Survey
inferredcites →https://doi.org/10.1561/9781680839135openalex-snapshot
Dynamical Variational Autoencoders: A Comprehensive Review
inferredcites →https://doi.org/10.1609/aaai.v31i1.10779openalex-snapshot
Structured Inference Networks for Nonlinear State Space Models
inferredcites →https://doi.org/10.1609/icaps.v28i1.13882openalex-snapshot
Online Algorithms for POMDPs with Continuous State, Action, and Observation Spaces
inferredcites →https://doi.org/10.2307/1269932openalex-snapshot
Markov Decision Processes: Discrete Stochastic Dynamic Programming
inferredcites →https://doi.org/10.24963/ijcai.2018/687openalex-snapshot
Behavioral Cloning from Observation
inferredcites →https://doi.org/10.24963/ijcai.2019/882openalex-snapshot
Recent Advances in Imitation Learning from Observation
inferredcites →https://doi.org/10.3929/ethz-b-000346296openalex-snapshot
Fatigue stress estimation of offshore wind turbine using a Kalman filter in combination with accelerometers
inferredcites →https://doi.org/10.47964/1120.9071.19581openalex-snapshot
LIE SYMMETRIES, OBSERVABILITY AND MODEL TRANSFORMATION OF NONLINEAR SYSTEMS WITH UNKNOWN INPUTS
inferredcites →https://doi.org/10.48550/arxiv.1506.02216openalex-snapshot
A Recurrent Latent Variable Model for Sequential Data
inferredcites →https://doi.org/10.48550/arxiv.1507.06527openalex-snapshot
Deep Recurrent Q-Learning for Partially Observable MDPs
inferredcites →https://doi.org/10.48550/arxiv.1605.06432openalex-snapshot
Deep Variational Bayes Filters: Unsupervised Learning of State Space Models from Raw Data
inferredcites →https://doi.org/10.48550/arxiv.1703.01703openalex-snapshot
Third-Person Imitation Learning
inferredcites →https://doi.org/10.48550/arxiv.1710.05741openalex-snapshot
A Disentangled Recognition and Nonlinear Dynamics Model for Unsupervised Learning
inferredcites →https://doi.org/10.48550/arxiv.1805.07914openalex-snapshot
Imitating Latent Policies from Observation
inferredcites →https://doi.org/10.48550/arxiv.1805.12114openalex-snapshot
Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models
inferredcites →https://doi.org/10.48550/arxiv.1807.04742openalex-snapshot
Visual Reinforcement Learning with Imagined Goals
inferredcites →https://doi.org/10.48550/arxiv.1807.06158openalex-snapshot
Generative Adversarial Imitation from Observation
inferredcites →https://doi.org/10.48550/arxiv.1904.06387openalex-snapshot
Extrapolating Beyond Suboptimal Demonstrations via Inverse Reinforcement Learning from Observations
inferredcites →https://doi.org/10.48550/arxiv.1905.10948openalex-snapshot
Provably Efficient Imitation Learning from Observation Alone
inferredcites →https://doi.org/10.48550/arxiv.1906.08649openalex-snapshot
Exploring Model-based Planning with Policy Networks
inferredcites →https://doi.org/10.48550/arxiv.2302.06540openalex-snapshot
Imitation from Observation With Bootstrapped Contrastive Learning
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.