Ali Baheri

Orcid: 0000-0002-5613-0192

According to our database1, Ali Baheri authored at least 27 papers between 2015 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
A survey on reinforcement learning in aviation applications.
Eng. Appl. Artif. Intell., 2024

Optimizing Falsification for Learning-Based Control Systems: A Multi-Fidelity Bayesian Approach.
CoRR, 2024

Optimal Transport-Assisted Risk-Sensitive Q-Learning.
CoRR, 2024

Concurrent Learning of Policy and Unknown Safety Constraints in Reinforcement Learning.
CoRR, 2024

The Synergy Between Optimal Transport Theory and Multi-Agent Reinforcement Learning.
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

LLMs-augmented Contextual Bandit.
CoRR, 2023

Understanding Reward Ambiguity Through Optimal Transport Theory in Inverse Reinforcement Learning.
CoRR, 2023

Risk-Aware Reinforcement Learning through Optimal Transport Theory.
CoRR, 2023

Towards Theoretical Understanding of Data-Driven Policy Refinement.
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

Safety Validation of Learning-Based Autonomous Systems: A Multi-Fidelity Approach.
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

Deep Reinforcement Learning with Enhanced Safety for Autonomous Highway Driving.
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

Vision-Based Autonomous Driving: A Model Learning Approach.
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


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