Papers
1,854 papers found
Actively Learning Gaussian Process Dynamics
Mona Buisson-Fenet, Friedrich Solowjow, Sebastian Trimpe
Regret Bound for Safe Gaussian Process Bandit Optimization
Sanae Amani, Mahnoosh Alizadeh, Christos Thrampoulidis
Smart Forgetting for Safe Online Learning with Gaussian Processes
Jonas Umlauft, Thomas Beckers, Alexandre Capone et al.
Learning Constrained Dynamics with Gauss’ Principle adhering Gaussian Processes
Andreas Geist, Sebastian Trimpe
On Simulation and Trajectory Prediction with Gaussian Process Dynamics
Lukas Hewing, Elena Arcari, Lukas P. Fröhlich et al.
Localized active learning of Gaussian process state space models
Alexandre Capone, Gerrit Noske, Jonas Umlauft et al.
Planning from Images with Deep Latent Gaussian Process Dynamics
Nathanael Bosch, Jan Achterhold, Laura Leal-Taixé et al.
Efficient Large-Scale Gaussian Process Bandits by Believing only Informative Actions
Amrit Singh Bedi, Dheeraj Peddireddy, Vaneet Aggarwal et al.
Probabilistic robust linear quadratic regulators with Gaussian processes
Alexander von Rohr, Matthias Neumann-Brosig, Sebastian Trimpe
Sample Complexity of Linear Quadratic Gaussian (LQG) Control for Output Feedback Systems
Yang Zheng, Luca Furieri, Maryam Kamgarpour et al.
Analysis of the Optimization Landscape of Linear Quadratic Gaussian (LQG) Control
Yujie Tang, Yang Zheng, Na Li
Contraction L1-Adaptive Control using Gaussian Processes
Aditya Gahlawat, Arun Lakshmanan, Lin Song et al.
Learning POMDP Models with Similarity Space Regularization: a Linear Gaussian Case Study
Yujie Yang, Jianyu Chen, Shengbo Li
Traversing Time with Multi-Resolution Gaussian Process State-Space Models
Krista Longi, Jakob Lindinger, Olaf Duennbier et al.
Mixtures of Controlled Gaussian Processes for Dynamical Modeling of Deformable Objects
Ce Xu Zheng, Adriá Colomé, Luis Sentis et al.
Structure-Preserving Learning Using Gaussian Processes and Variational Integrators
Jan Brüdigam, Martin Schuck, Alexandre Capone et al.
Can Direct Latent Model Learning Solve Linear Quadratic Gaussian Control?
Yi Tian, Kaiqing Zhang, Russ Tedrake et al.
Probabilistic Invariance for Gaussian Process State Space Models
Paul Griffioen, Alex Devonport, Murat Arcak
Physics-enhanced Gaussian Process Variational Autoencoder
Thomas Beckers, Qirui Wu, George J. Pappas
A Reinforcement Learning Look at Risk-Sensitive Linear Quadratic Gaussian Control
Leilei Cui, Tamer Basar, Zhong-Ping Jiang
On Controller Reduction in Linear Quadratic Gaussian Control with Performance Bounds
Zhaolin Ren, Yang Zheng, Maryam Fazel et al.
Frequency Domain Gaussian Process Models for $H^∞$ Uncertainties
Alex Devonport, Peter Seiler, Murat Arcak
Uncertainty informed optimal resource allocation with Gaussian process based Bayesian inference
Samarth Gupta, Saurabh Amin
Hamiltonian GAN
Christine Allen-Blanchette
Restless bandits with rewards generated by a linear Gaussian dynamical system
Jonathan Gornet, Bruno Sinopoli