Ali Baheri

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 31

Top Topics

Reinforcement Learning

Contextual Bandit

Top Venues

IEEE Trans. Control. Syst. Technol.

Eng. Appl. Artif. Intell.

Publications

Zahra Shahrooei, Ali Baheri
Optimal Transport-Assisted Risk-Sensitive Q-Learning. CoRR (2024)
Joshua Yancosek, Ali Baheri
BEACON: A Bayesian Evolutionary Approach for Counterexample Generation of Control Systems. CoRR (2024)
Ali Baheri, Mykel J. Kochenderfer
The Synergy Between Optimal Transport Theory and Multi-Agent Reinforcement Learning. CoRR (2024)
Joshua Yancosek, Ali Baheri
BEACON: A Bayesian Evolutionary Approach for Counterexample Generation of Control Systems. IEEE Access 12 (2024)
Pouria Razzaghi, Amin Tabrizian, Wei Guo, Shulu Chen, Abenezer Taye, Ellis Thompson, Alexis Bregeon, Ali Baheri, Peng Wei
A survey on reinforcement learning in aviation applications. Eng. Appl. Artif. Intell. 136 (2024)
Lunet Yifru, Ali Baheri
Concurrent Learning of Policy and Unknown Safety Constraints in Reinforcement Learning. CoRR (2024)
Zahra Shahrooei, Mykel J. Kochenderfer, Ali Baheri
Falsification of Learning-Based Controllers through Multi-Fidelity Bayesian Optimization. ECC (2023)
Ali Baheri, Cecilia O. Alm
LLMs-augmented Contextual Bandit. CoRR (2023)
Ali Baheri
Towards Theoretical Understanding of Data-Driven Policy Refinement. CoRR (2023)
Ali Baheri
Understanding Reward Ambiguity Through Optimal Transport Theory in Inverse Reinforcement Learning. CoRR (2023)
Ali Baheri
Risk-Aware Reinforcement Learning through Optimal Transport Theory. CoRR (2023)
Lunet Yifru, Ali Baheri
Joint Learning of Policy with Unknown Temporal Constraints for Safe Reinforcement Learning. CoRR (2023)
Ali Baheri, Mykel J. Kochenderfer
Joint Falsification and Fidelity Settings Optimization for Validation of Safety-Critical Systems: A Theoretical Analysis. CoRR (2023)
Ali Baheri
Safety Validation of Learning-Based Autonomous Systems: A Multi-Fidelity Approach. AAAI (2023)
Ali Baheri
Exploring the role of simulator fidelity in the safety validation of learning-enabled autonomous systems. AI Mag. 44 (4) (2023)
David S. Mebane, Kyle Hayes, Ali Baheri
Fast variable selection makes scalable Gaussian process BSS-ANOVA a speedy and accurate choice for tabular and time series regression. CoRR (2022)
Stephen Jacobs, R. Michael Butts, Yu Gu, Ali Baheri, Guilherme A. S. Pereira
A Framework for Controlling Multi-Robot Systems Using Bayesian Optimization and Linear Combination of Vectors. CoRR (2022)
Pouria Razzaghi, Amin Tabrizian, Wei Guo, Shulu Chen, Abenezer Taye, Ellis Thompson, Alexis Bregeon, Ali Baheri, Peng Wei
A Survey on Reinforcement Learning in Aviation Applications. CoRR (2022)
Zahra Shahrooei, Mykel J. Kochenderfer, Ali Baheri
Falsification of Learning-Based Controllers through Multi-Fidelity Bayesian Optimization. CoRR (2022)
Ali Baheri, Hao Ren, Benjamin Johnson, Pouria Razzaghi, Peng Wei
A Verification Framework for Certifying Learning-Based Safety-Critical Aviation Systems. CoRR (2022)
Jared J. Beard, Ali Baheri
Safety Verification of Autonomous Systems: A Multi-Fidelity Reinforcement Learning Approach. CoRR (2022)
Ali Baheri, Subramanya Nageshrao, H. Eric Tseng, Ilya V. Kolmanovsky, Anouck Girard, Dimitar P. Filev
Deep Reinforcement Learning with Enhanced Safety for Autonomous Highway Driving. IV (2020)
Ali Baheri, Ilya V. Kolmanovsky, Anouck Girard, H. Eric Tseng, Dimitar P. Filev
Vision-Based Autonomous Driving: A Model Learning Approach. CoRR (2020)
Ali Baheri
Safe Reinforcement Learning with Mixture Density Network: A Case Study in Autonomous Highway Driving. CoRR (2020)
Ali Baheri, Chris Vermillion
Waypoint Optimization Using Bayesian Optimization: A Case Study in Airborne Wind Energy Systems. ACC (2020)
Ali Baheri, Ilya V. Kolmanovsky, Anouck Girard, H. Eric Tseng, Dimitar P. Filev
Vision-Based Autonomous Driving: A Model Learning Approach. ACC (2020)
Ali Baheri, Chris Vermillion
Waypoint Optimization Using Bayesian Optimization: A Case Study in Airborne Wind Energy Systems. CoRR (2019)
Ali Baheri, Subramanya Nageshrao, H. Eric Tseng, Ilya V. Kolmanovsky, Anouck Girard, Dimitar P. Filev
Deep Reinforcement Learning with Enhanced Safety for Autonomous Highway Driving. CoRR (2019)
Ali Baheri, Chris Vermillion
Economically Efficient Combined Plant and Controller Design Using Batch Bayesian Optimization: Mathematical Framework and Airborne Wind Energy Case Study. CoRR (2019)
Shamir Bin-Karim, Alireza Bafandeh, Ali Baheri, Christopher Vermillion
Spatiotemporal Optimization Through Gaussian Process-Based Model Predictive Control: A Case Study in Airborne Wind Energy. IEEE Trans. Control. Syst. Technol. 27 (2) (2019)
Ali Baheri, Christopher Vermillion
Altitude optimization of Airborne Wind Energy systems: A Bayesian Optimization approach. ACC (2017)
Ali Baheri, Joshua Vaughan
Concurrent design of unity-magnitude input shapers and proportional-derivative feedback controllers. ACC (2015)