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Ali Baheri
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2020 – today
- 2024
- [j4]Joshua Yancosek
, Ali Baheri
BEACON: A Bayesian Evolutionary Approach for Counterexample Generation of Control Systems. IEEE Access 12: 106455-106465 (2024) - [j3]Pouria Razzaghi
A survey on reinforcement learning in aviation applications. Eng. Appl. Artif. Intell. 136: 108911 (2024) - [i22]Ali Baheri, Mykel J. Kochenderfer:
The Synergy Between Optimal Transport Theory and Multi-Agent Reinforcement Learning. CoRR abs/2401.10949 (2024) - [i21]Lunet Yifru, Ali Baheri:
Concurrent Learning of Policy and Unknown Safety Constraints in Reinforcement Learning. CoRR abs/2402.15893 (2024) - [i20]Joshua Yancosek, Ali Baheri:
BEACON: A Bayesian Evolutionary Approach for Counterexample Generation of Control Systems. CoRR abs/2403.05925 (2024) - [i19]Zahra Shahrooei, Ali Baheri:
Optimal Transport-Assisted Risk-Sensitive Q-Learning. CoRR abs/2406.11774 (2024) - [i18]Zahra Shahrooei, Mykel J. Kochenderfer, Ali Baheri:
Optimizing Falsification for Learning-Based Control Systems: A Multi-Fidelity Bayesian Approach. CoRR abs/2409.08097 (2024) - 2023
- [j2]Ali Baheri
Exploring the role of simulator fidelity in the safety validation of learning-enabled autonomous systems. AI Mag. 44(4): 453-459 (2023) - [c7]Ali Baheri:
Safety Validation of Learning-Based Autonomous Systems: A Multi-Fidelity Approach. AAAI 2023: 15432 - [c6]Zahra Shahrooei, Mykel J. Kochenderfer, Ali Baheri:
Falsification of Learning-Based Controllers through Multi-Fidelity Bayesian Optimization. ECC 2023: 1-6 - [i17]Lunet Yifru, Ali Baheri:
Joint Learning of Policy with Unknown Temporal Constraints for Safe Reinforcement Learning. CoRR abs/2305.00576 (2023) - [i16]Ali Baheri, Mykel J. Kochenderfer:
Joint Falsification and Fidelity Settings Optimization for Validation of Safety-Critical Systems: A Theoretical Analysis. CoRR abs/2305.06111 (2023) - [i15]Ali Baheri:
Towards Theoretical Understanding of Data-Driven Policy Refinement. CoRR abs/2305.06796 (2023) - [i14]Ali Baheri:
Risk-Aware Reinforcement Learning through Optimal Transport Theory. CoRR abs/2309.06239 (2023) - [i13]Ali Baheri:
Understanding Reward Ambiguity Through Optimal Transport Theory in Inverse Reinforcement Learning. CoRR abs/2310.12055 (2023) - [i12]Ali Baheri, Cecilia O. Alm:
LLMs-augmented Contextual Bandit. CoRR abs/2311.02268 (2023) - 2022
- [i11]Jared J. Beard, Ali Baheri:
Safety Verification of Autonomous Systems: A Multi-Fidelity Reinforcement Learning Approach. CoRR abs/2203.03451 (2022) - [i10]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 abs/2203.12416 (2022) - [i9]Ali Baheri, Hao Ren, Benjamin Johnson, Pouria Razzaghi, Peng Wei:
A Verification Framework for Certifying Learning-Based Safety-Critical Aviation Systems. CoRR abs/2205.04590 (2022) - [i8]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 abs/2205.13676 (2022) - [i7]Pouria Razzaghi, Amin Tabrizian, Wei Guo, Shulu Chen, Abenezer Taye, Ellis Thompson
A Survey on Reinforcement Learning in Aviation Applications. CoRR abs/2211.02147 (2022) - [i6]Zahra Shahrooei, Mykel J. Kochenderfer, Ali Baheri:
Falsification of Learning-Based Controllers through Multi-Fidelity Bayesian Optimization. CoRR abs/2212.14118 (2022) - 2020
- [c5]Ali Baheri, Ilya V. Kolmanovsky
Vision-Based Autonomous Driving: A Model Learning Approach. ACC 2020: 2520-2525 - [c4]Ali Baheri, Chris Vermillion:
Waypoint Optimization Using Bayesian Optimization: A Case Study in Airborne Wind Energy Systems. ACC 2020: 5102-5017 - [c3]Ali Baheri, Subramanya Nageshrao, H. Eric Tseng, Ilya V. Kolmanovsky
Deep Reinforcement Learning with Enhanced Safety for Autonomous Highway Driving. IV 2020: 1550-1555 - [i5]Ali Baheri, Ilya V. Kolmanovsky
Vision-Based Autonomous Driving: A Model Learning Approach. CoRR abs/2003.08300 (2020) - [i4]Ali Baheri:
Safe Reinforcement Learning with Mixture Density Network: A Case Study in Autonomous Highway Driving. CoRR abs/2007.01698 (2020)
2010 – 2019
- 2019
- [j1]Shamir Bin-Karim
Spatiotemporal Optimization Through Gaussian Process-Based Model Predictive Control: A Case Study in Airborne Wind Energy. IEEE Trans. Control. Syst. Technol. 27(2): 798-805 (2019) - [i3]Ali Baheri, Chris Vermillion:
Economically Efficient Combined Plant and Controller Design Using Batch Bayesian Optimization: Mathematical Framework and Airborne Wind Energy Case Study. CoRR abs/1901.07521 (2019) - [i2]Ali Baheri, Chris Vermillion:
Waypoint Optimization Using Bayesian Optimization: A Case Study in Airborne Wind Energy Systems. CoRR abs/1910.12901 (2019) - [i1]Ali Baheri, Subramanya Nageshrao, H. Eric Tseng, Ilya V. Kolmanovsky
Deep Reinforcement Learning with Enhanced Safety for Autonomous Highway Driving. CoRR abs/1910.12905 (2019) - 2017
- [c2]Ali Baheri, Christopher Vermillion:
Altitude optimization of Airborne Wind Energy systems: A Bayesian Optimization approach. ACC 2017: 1365-1370 - 2015
- [c1]Ali Baheri, Joshua Vaughan
Concurrent design of unity-magnitude input shapers and proportional-derivative feedback controllers. ACC 2015: 1211-1216
Coauthor Index
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