Ali Baheri
Orcid: 0000-0002-5613-0192
According to our database1,
Ali Baheri
authored at least 27 papers
between 2015 and 2024.
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Bibliography
2024
Eng. Appl. Artif. Intell., 2024
Optimizing Falsification for Learning-Based Control Systems: A Multi-Fidelity Bayesian Approach.
CoRR, 2024
Concurrent Learning of Policy and Unknown Safety Constraints in Reinforcement Learning.
CoRR, 2024
CoRR, 2024
BEACON: A Bayesian Evolutionary Approach for Counterexample Generation of Control Systems.
IEEE Access, 2024
2023
Exploring the role of simulator fidelity in the safety validation of learning-enabled autonomous systems.
AI Mag., December, 2023
Understanding Reward Ambiguity Through Optimal Transport Theory in Inverse Reinforcement Learning.
CoRR, 2023
Joint Falsification and Fidelity Settings Optimization for Validation of Safety-Critical Systems: A Theoretical Analysis.
CoRR, 2023
Joint Learning of Policy with Unknown Temporal Constraints for Safe Reinforcement Learning.
CoRR, 2023
Falsification of Learning-Based Controllers through Multi-Fidelity Bayesian Optimization.
Proceedings of the European Control Conference, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Fast variable selection makes scalable Gaussian process BSS-ANOVA a speedy and accurate choice for tabular and time series regression.
CoRR, 2022
A Verification Framework for Certifying Learning-Based Safety-Critical Aviation Systems.
CoRR, 2022
A Framework for Controlling Multi-Robot Systems Using Bayesian Optimization and Linear Combination of Vectors.
CoRR, 2022
Safety Verification of Autonomous Systems: A Multi-Fidelity Reinforcement Learning Approach.
CoRR, 2022
2020
Safe Reinforcement Learning with Mixture Density Network: A Case Study in Autonomous Highway Driving.
CoRR, 2020
Proceedings of the IEEE Intelligent Vehicles Symposium, 2020
Waypoint Optimization Using Bayesian Optimization: A Case Study in Airborne Wind Energy Systems.
Proceedings of the 2020 American Control Conference, 2020
Proceedings of the 2020 American Control Conference, 2020
2019
Spatiotemporal Optimization Through Gaussian Process-Based Model Predictive Control: A Case Study in Airborne Wind Energy.
IEEE Trans. Control. Syst. Technol., 2019
Economically Efficient Combined Plant and Controller Design Using Batch Bayesian Optimization: Mathematical Framework and Airborne Wind Energy Case Study.
CoRR, 2019
2017
Altitude optimization of Airborne Wind Energy systems: A Bayesian Optimization approach.
Proceedings of the 2017 American Control Conference, 2017
2015
Concurrent design of unity-magnitude input shapers and proportional-derivative feedback controllers.
Proceedings of the American Control Conference, 2015