Concurrent design of unity-magnitude input shapers and proportional-derivative feedback controllers. - Ali Baheri; Joshua Vaughan (ACC, 2015)

Altitude optimization of Airborne Wind Energy systems: A Bayesian Optimization approach. - Ali Baheri; Christopher Vermillion (ACC, 2017)

Economically Efficient Combined Plant and Controller Design Using Batch Bayesian Optimization: Mathematical Framework and Airborne Wind Energy Case Study. - Ali Baheri; Chris Vermillion (CoRR, 2019)

Spatiotemporal Optimization Through Gaussian Process-Based Model Predictive Control: A Case Study in Airborne Wind Energy. - Shamir Bin-Karim; Alireza Bafandeh; Ali Baheri; Christopher Vermillion (IEEE Trans. Control. Syst. Technol., 2019)

Vision-Based Autonomous Driving: A Model Learning Approach. - Ali Baheri; Ilya V. Kolmanovsky; Anouck Girard; H. Eric Tseng; Dimitar P. Filev (ACC, 2020)

Waypoint Optimization Using Bayesian Optimization: A Case Study in Airborne Wind Energy Systems. - Ali Baheri; Chris Vermillion (ACC, 2020)

Deep Reinforcement Learning with Enhanced Safety for Autonomous Highway Driving. - Ali Baheri; Subramanya Nageshrao; H. Eric Tseng; Ilya V. Kolmanovsky; Anouck Girard; Dimitar P. Filev (IV, 2020)

Safe Reinforcement Learning with Mixture Density Network: A Case Study in Autonomous Highway Driving. - Ali Baheri (CoRR, 2020)

Safety Verification of Autonomous Systems: A Multi-Fidelity Reinforcement Learning Approach. - Jared J. Beard; Ali Baheri (CoRR, 2022)

A Framework for Controlling Multi-Robot Systems Using Bayesian Optimization and Linear Combination of Vectors. - Stephen Jacobs; R. Michael Butts; Yu Gu 008; Ali Baheri; Guilherme A. S. Pereira (CoRR, 2022)

A Verification Framework for Certifying Learning-Based Safety-Critical Aviation Systems. - Ali Baheri; Hao Ren; Benjamin Johnson 007; Pouria Razzaghi; Peng Wei (CoRR, 2022)

Fast variable selection makes scalable Gaussian process BSS-ANOVA a speedy and accurate choice for tabular and time series regression. - David S. Mebane; Kyle Hayes; Ali Baheri (CoRR, 2022)

Safety Validation of Learning-Based Autonomous Systems: A Multi-Fidelity Approach. - Ali Baheri (AAAI, 2023)

Falsification of Learning-Based Controllers through Multi-Fidelity Bayesian Optimization. - Zahra Shahrooei; Mykel J. Kochenderfer; Ali Baheri (ECC, 2023)

Joint Learning of Policy with Unknown Temporal Constraints for Safe Reinforcement Learning. - Lunet Yifru; Ali Baheri (CoRR, 2023)

Joint Falsification and Fidelity Settings Optimization for Validation of Safety-Critical Systems: A Theoretical Analysis. - Ali Baheri; Mykel J. Kochenderfer (CoRR, 2023)

Towards Theoretical Understanding of Data-Driven Policy Refinement. - Ali Baheri (CoRR, 2023)

Risk-Aware Reinforcement Learning through Optimal Transport Theory. - Ali Baheri (CoRR, 2023)

Understanding Reward Ambiguity Through Optimal Transport Theory in Inverse Reinforcement Learning. - Ali Baheri (CoRR, 2023)

LLMs-augmented Contextual Bandit. - Ali Baheri; Cecilia O. Alm (CoRR, 2023)

Exploring the role of simulator fidelity in the safety validation of learning-enabled autonomous systems. - Ali Baheri (AI Mag., 2023)

BEACON: A Bayesian Evolutionary Approach for Counterexample Generation of Control Systems. - Joshua Yancosek; Ali Baheri (IEEE Access, 2024)

The Synergy Between Optimal Transport Theory and Multi-Agent Reinforcement Learning. - Ali Baheri; Mykel J. Kochenderfer (CoRR, 2024)

Concurrent Learning of Policy and Unknown Safety Constraints in Reinforcement Learning. - Lunet Yifru; Ali Baheri (CoRR, 2024)

Optimal Transport-Assisted Risk-Sensitive Q-Learning. - Zahra Shahrooei; Ali Baheri (CoRR, 2024)

Optimizing Falsification for Learning-Based Control Systems: A Multi-Fidelity Bayesian Approach. - Zahra Shahrooei; Mykel J. Kochenderfer; Ali Baheri (CoRR, 2024)

Hierarchical Upper Confidence Bounds for Constrained Online Learning. - Ali Baheri (CoRR, 2024)

A survey on reinforcement learning in aviation applications. - Pouria Razzaghi; Amin Tabrizian; Wei Guo; Shulu Chen; Abenezer Taye; Ellis Thompson; Alexis Bregeon; Ali Baheri; Peng Wei (Eng. Appl. Artif. Intell., 2024)

WAVE: Wasserstein Adaptive Value Estimation for Actor-Critic Reinforcement Learning. - Ali Baheri; Zahra Shahrooei; Chirayu Salgarkar (L4DC, 2025)

SMTL: A Stratified Logic for Expressive Multi-Level Temporal Specifications. - Ali Baheri; Peng Wei (CoRR, 2025)

Wasserstein Adaptive Value Estimation for Actor-Critic Reinforcement Learning. - Ali Baheri; Zahra Sharooei; Chirayu Salgarkar (CoRR, 2025)

PEARL: Preconditioner Enhancement through Actor-critic Reinforcement Learning. - David Millard 003; Arielle Carr; Stéphane Gaudreault; Ali Baheri (CoRR, 2025)

Multi-Scale Conformal Prediction: A Theoretical Framework with Coverage Guarantees. - Ali Baheri; Marzieh Amiri Shahbazi (CoRR, 2025)

Risk-Averse Reinforcement Learning: An Optimal Transport Perspective on Temporal Difference Learning. - Zahra Shahrooei; Ali Baheri (CoRR, 2025)

Hierarchical Neuro-Symbolic Decision Transformer. - Ali Baheri; Cecilia O. Alm (CoRR, 2025)

DEF: Diffusion-augmented Ensemble Forecasting. - David Millard 003; Arielle Carr; Stéphane Gaudreault; Ali Baheri (CoRR, 2025)

Wasserstein Barycenter Soft Actor-Critic. - Zahra Shahrooei; Ali Baheri (CoRR, 2025)

Wasserstein-Barycenter Consensus for Cooperative Multi-Agent Reinforcement Learning. - Ali Baheri (CoRR, 2025)

Implicit Constraint-Aware Off-Policy Correction for Offline Reinforcement Learning. - Ali Baheri (CoRR, 2025)