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Ali Baheri
Ali Baheri
Assistant Professor, Rochester Institute of Technology
Verified email at stanford.edu - Homepage
Title
Cited by
Cited by
Year
Deep reinforcement learning with enhanced safety for autonomous highway driving
A Baheri, S Nageshrao, HE Tseng, I Kolmanovsky, A Girard, D Filev
2020 IEEE Intelligent Vehicles Symposium (IV), 1550-1555, 2020
512020
Real-time control using Bayesian optimization: A case study in airborne wind energy systems
A Baheri, S Bin-Karim, A Bafandeh, C Vermillion
Control Engineering Practice 69, 131-140, 2017
422017
A survey on reinforcement learning in aviation applications
P Razzaghi, A Tabrizian, W Guo, S Chen, A Taye, E Thompson, ...
arXiv preprint arXiv:2211.02147, 2022
282022
Altitude optimization of airborne wind energy systems: A Bayesian optimization approach
A Baheri, C Vermillion
2017 American Control Conference (ACC), 1365-1370, 2017
272017
Spatiotemporal optimization through gaussian process-based model predictive control: A case study in airborne wind energy
S Bin-Karim, A Bafandeh, A Baheri, C Vermillion
IEEE Transactions on Control Systems Technology 27 (2), 798-805, 2017
262017
Iterative 3d layout optimization and parametric trade study for a reconfigurable ocean current turbine array using Bayesian optimization
A Baheri, P Ramaprabhu, C Vermillion
Renewable energy 127, 1052-1063, 2018
202018
Safe reinforcement learning with mixture density network, with application to autonomous driving
A Baheri
Results in Control and Optimization 6, 100095, 2022
182022
Combined plant and controller design using Bayesian optimization: A case study in airborne wind energy systems
A Baheri, J Deese, C Vermillion
Dynamic Systems and Control Conference 58295, V003T40A003, 2017
162017
Combined plant and controller design using batch bayesian optimization: a case study in airborne wind energy systems
A Baheri, C Vermillion
Journal of Dynamic Systems, Measurement, and Control 141 (9), 091013, 2019
142019
Waypoint optimization using Bayesian optimization: A case study in airborne wind energy systems
A Baheri, C Vermillion
2020 American Control Conference (ACC), 5102-5017, 2020
122020
A comparative assessment of hierarchical control structures for spatiotemporally-varying systems, with application to airborne wind energy
A Bafandeh, S Bin-Karim, A Baheri, C Vermillion
Control Engineering Practice 74, 71-83, 2018
122018
Iterative in-situ 3D layout optimization of a reconfigurable ocean current turbine array using Bayesian optimization
A Baheri, P Ramaprabhu, C Vermillion
Dynamic Systems and Control Conference 58295, V003T40A002, 2017
112017
Black-Box Safety Validation of Autonomous Systems: A Multi-Fidelity Reinforcement Learning Approach
JJ Beard, A Baheri
arXiv preprint arXiv:2203.03451, 2022
92022
Vision-based autonomous driving: A model learning approach
A Baheri, I Kolmanovsky, A Girard, HE Tseng, D Filev
2020 American Control Conference (ACC), 2520-2525, 2020
92020
Falsification of learning-based controllers through multi-fidelity Bayesian optimization
Z Shahrooei, MJ Kochenderfer, A Baheri
2023 European Control Conference (ECC), 1-6, 2023
52023
A verification framework for certifying learning-based safety-critical aviation systems
A Baheri, H Ren, B Johnson, P Razzaghi, P Wei
AIAA AVIATION 2022 Forum, 3965, 2022
52022
Waypoint optimization using Bayesian optimization: A case study in airborne wind energy systems. In 2020 Amer. Control Conf.(ACC), 5102–5017
A Baheri, C Vermillion
IEEE, 2020
42020
Safe reinforcement learning with mixture density network: A case study in autonomous highway driving
A Baheri
arXiv preprint arXiv:2007.01698, 2020
32020
Context-dependent Bayesian Optimization in real-time optimal control: A case study in airborne wind energy systems
A Baheri, C Vermillion
NIPS Workshop on Bayesian Optimization, 2017
32017
Concurrent design of unity-magnitude input shapers and proportional-derivative feedback controllers
A Baheri, J Vaughan
2015 American Control Conference (ACC), 1211-1216, 2015
32015
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