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system identification
system identification
99 papers
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dynamical system
(398)
linear dynamical system
(86)
gaussian process
(1200)
nonlinear system
(36)
parameter estimation
(274)
adaptive control
(47)
robust control
(56)
neural network
(6616)
optimal control
(218)
sample complexity
(1169)
Papers
BayesRace: Learning to race autonomously using prior experience
CORL 2020
System Identification with Biophysical Constraints: A Circuit Model of the Inner Retina
NIPS 2020
A First Principles Approach for Data-Efficient System Identification of Spring-Rod Systems via Differentiable Physics Engines
L4DC 2020
Black-box continuous-time transfer function estimation with stability guarantees: a kernel-based approach
L4DC 2020
Learning nonlinear dynamical systems from a single trajectory
L4DC 2020
Active Learning for Identification of Linear Dynamical Systems
COLT 2020
Pontryagin Differentiable Programming: An End-to-End Learning and Control Framework
NIPS 2020
Sample Complexity of Kalman Filtering for Unknown Systems
L4DC 2020
Data-driven Identification of Approximate Passive Linear Models for Nonlinear Systems
L4DC 2020
Learning Active Task-Oriented Exploration Policies for Bridging the Sim-to-Real Gap
RSS 2020
Robust Low-Rank Discovery of Data-Driven Partial Differential Equations
AAAI 2020
Logarithmic Regret Bound in Partially Observable Linear Dynamical Systems
NIPS 2020
Conic Optimization for Quadratic Regression Under Sparse Noise
JMLR 2020
Finite Sample System Identification: Optimal Rates and the Role of Regularization
L4DC 2020
System Identification with Time-Aware Neural Sequence Models
AAAI 2020
Scalable Identification of Partially Observed Systems with Certainty-Equivalent EM
ICML 2020
Switching Linear Dynamics for Variational Bayes Filtering
ICML 2019
TuneNet: One-Shot Residual Tuning for System Identification and Sim-to-Real Robot Task Transfer
CORL 2019
Receding Horizon Curiosity
CORL 2019
Safe Partial Diagnosis from Normal Observations
AAAI 2019
Near optimal finite time identification of arbitrary linear dynamical systems
ICML 2019
Modeling and Control of Soft Robots Using the Koopman Operator and Model Predictive Control
RSS 2019
Regret Bounds for Robust Adaptive Control of the Linear Quadratic Regulator
NIPS 2018
Gradient Descent Learns Linear Dynamical Systems
JMLR 2018
Graph Networks as Learnable Physics Engines for Inference and Control
ICML 2018
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