- Alisa Rupenyan on X🔍
- Constrained Bayesian optimization with Particle Swarms for Safe ...🔍
- Event|Triggered Safe Bayesian Optimization on Quadcopters🔍
- Matteo Turchetta🔍
- Model|Assisted Probabilistic Safe Adaptive Control With Meta ...🔍
- Performance|Driven Safe Bayesian Optimization for Intelligent ...🔍
- Safe Risk|Averse Bayesian Optimization for Controller Tuning🔍
- Data|efficient safe learning and control with on|board sensors🔍
Safe and Efficient Model|free Adaptive Control via Bayesian ...
Alisa Rupenyan on X: "Our approach for Safe and Efficient Model ...
Our approach for Safe and Efficient Model-Free Adaptive Control via Bayesian Optimization... https://t.co/lvbLuqIRn6 will be presented on ...
We assume that a control policy is available, which is parameterized by parameters θ within a domain D; in our case, this is an L1 adaptive controller. Given a ...
Event-Triggered Safe Bayesian Optimization on Quadcopters
Safe and efficient model-free adaptive control via Bayesian optimization. In 2021 IEEE International. Conference on Robotics and Automation (ICRA), pages ...
Matteo Turchetta - Google Acadêmico - Google Scholar
Safe and efficient model-free adaptive control via Bayesian optimization. C König, M Turchetta, J Lygeros, A Rupenyan, A Krause. 2021 IEEE International ...
Matteo Turchetta - Google Scholar
Safe and efficient model-free adaptive control via Bayesian optimization. C König, M Turchetta, J Lygeros, A Rupenyan, A Krause. 2021 IEEE International ...
Model-Assisted Probabilistic Safe Adaptive Control With Meta ...
Specifically, with the help of CBF method, we learn the inherent and external uncertainties by a unified adaptive Bayesian linear regression (ABLR) model, which ...
Performance-Driven Safe Bayesian Optimization for Intelligent ...
Krause, “Safe and efficient model-free adaptive control via Bayesian optimization,” in Proc. ... Rupenyan, “Safety-aware cascade controller tuning using ...
Safe Risk-Averse Bayesian Optimization for Controller Tuning
of a stochastic model predictive controller, however, the safety ... Krause, “Safe and efficient model-free adaptive control via bayesian optimization,”.
Data-efficient safe learning and control with on-board sensors
Abstract. We consider the safe navigation of robots in unknown environments using data from sensory devices. The control barrier function (CBF) is one of ...
Matteo Turchetta - Google Scholar
Safe and efficient model-free adaptive control via Bayesian optimization. C König, M Turchetta, J Lygeros, A Rupenyan, A Krause. 2021 IEEE International ...
Safe Contextual Bayesian Optimization for Sustainable Room ...
Furthermore, we can find the optimal controller parameters through safe ... Energy efficient building climate control using stochastic model predictive control ...
Bayesian Nonparametric Adaptive Control using Gaussian Processes
Within the class of MRAC algorithms, Radial Basis. Function Neural Networks (RBFNs) have emerged as a widely used universal-approximator adaptive model [52], ...
Developing Bayesian adaptive methods for estimating sensitivity ...
These model-based adaptive methods improve psychophysical testing efficiency and model parameter estimation by ... by % Correct) are criterion-free.
Tuning Legged Locomotion Controllers via Safe Bayesian ...
... model-based controllers in legged robotic hardware platforms. Our approach leverages a model-free safe learning algorithm to automate the ...
Violation-Aware Contextual Bayesian Optimization for Controller ...
loop performance by automatically tuning controller gains or reference setpoints in a model-free manner. However, BO methods have rarely ...
Publications - Felix Berkenkamp
Learning-based Model Predictive Control for Safe Exploration. Torsten Koller ... Constrained Bayesian optimization with Particle Swarms for Safe Adaptive ...
Efficient Black-box Adversarial Attacks via Bayesian Optimization Guided by a Function Prior ... Split-Ensemble: Efficient OOD-aware Ensemble via Task and Model ...
Tuning particle accelerators with safety constraints using Bayesian ...
Further, an effective method should concentrate on sampling feasible points for fast convergence. Step-size control.—Classical optimization ...
Practical Bayesian Optimization for Model Fitting with Bayesian ...
We address these issues by developing a novel hybrid BO algorithm, Bayesian Adaptive Direct Search ... The POLL stage performs a fail-safe, model-free.
James Harrison: Bayesian Models for Adaptive Learning and Control
... safe operation, a robot must be capable of learning efficiently ... safe exploration and control under uncertainty using the learned models.