Bratislav Svetozarevic

According to our database1, Bratislav Svetozarevic authored at least 20 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Principled Preferential Bayesian Optimization.
CoRR, 2024

2023
Stable Linear Subspace Identification: A Machine Learning Approach.
CoRR, 2023

Multi-Agent Bayesian Optimization with Coupled Black-Box and Affine Constraints.
CoRR, 2023

Data-driven adaptive building thermal controller tuning with constraints: A primal-dual contextual Bayesian optimization approach.
CoRR, 2023

Bayesian Optimization of Expensive Nested Grey-Box Functions.
CoRR, 2023

Violation-Aware Contextual Bayesian Optimization for Controller Performance Optimization with Unmodeled Constraints.
CoRR, 2023

Constrained Efficient Global Optimization of Expensive Black-box Functions.
Proceedings of the International Conference on Machine Learning, 2023

Primal-Dual Contextual Bayesian Optimization for Control System Online Optimization with Time-Average Constraints.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Computationally Efficient Reinforcement Learning: Targeted Exploration leveraging Simple Rules.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
Towards Scalable Physically Consistent Neural Networks: an Application to Data-driven Multi-zone Thermal Building Models.
CoRR, 2022

Efficient Reinforcement Learning (ERL): Targeted Exploration Through Action Saturation.
CoRR, 2022

CONFIG: Constrained Efficient Global Optimization for Closed-Loop Control System Optimization with Unmodeled Constraints.
CoRR, 2022

Physically Consistent Neural ODEs for Learning Multi-Physics Systems.
CoRR, 2022

Near-optimal Deep Reinforcement Learning Policies from Data for Zone Temperature Control.
Proceedings of the 17th IEEE International Conference on Control & Automation, 2022

VABO: Violation-Aware Bayesian Optimization for Closed-Loop Control Performance Optimization with Unmodeled Constraints.
Proceedings of the American Control Conference, 2022

2021
Physically Consistent Neural Networks for building thermal modeling: theory and analysis.
CoRR, 2021

Data-driven MIMO control of room temperature and bidirectional EV charging using deep reinforcement learning: simulation and experiments.
CoRR, 2021

2016
SoRo-Track: A two-axis soft robotic platform for solar tracking and building-integrated photovoltaic applications.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

2013
Toward Anthropomimetic Robotics: Development, Simulation, and Control of a Musculoskeletal Torso.
Artif. Life, 2013

A robust fault detection and isolation filter for a horizontal axis variable speed wind turbine.
Proceedings of the American Control Conference, 2013


  Loading...