Distributed Beamforming for Agents with Localization Errors. - Erfaun Noorani; Yagiz Savas; Alec Koppel; John S. Baras; Ufuk Topcu; Brian M. Sadler (CoRR, 2020)

Collaborative Beamforming for Agents with Localization Errors. - Erfaun Noorani; Yagiz Savas; Alec Koppel; John S. Baras; Ufuk Topcu; Brian M. Sadler (ACSCC, 2021)

Risk-sensitive REINFORCE: A Monte Carlo Policy Gradient Algorithm for Exponential Performance Criteria. - Erfaun Noorani; John S. Baras (CDC, 2021)

Risk-sensitive Reinforcement Learning and Robust Learning for Control. - Erfaun Noorani; John S. Baras (CDC, 2021)

A Probabilistic Perspective on Risk-sensitive Reinforcement Learning. - Erfaun Noorani; John S. Baras (ACC, 2022)

Embracing Risk in Reinforcement Learning: The Connection between Risk-Sensitive Exponential and Distributionally Robust Criteria. - Erfaun Noorani; John S. Baras (ACC, 2022)

Co-Design of Watermarking and Robust Control for Security in Cyber-Physical Systems. - Raman Goyal; Christoforos Somarakis; Erfaun Noorani; Shantanu Rane (CDC, 2022)

Multi-agent Deep Reinforcement Learning for Shock Wave Detection and Dissipation using Vehicle-to-Vehicle Communication. - Nilesh Suriyarachchi; Erfaun Noorani; Faizan M. Tariq; John S. Baras (CDC, 2022)

Risk-attitudes, Trust, and Emergence of Coordination in Multi-agent Reinforcement Learning Systems: A Study of Independent Risk-sensitive REINFORCE. - Erfaun Noorani; John S. Baras (ECC, 2022)

Model-Assisted Reinforcement Learning for Online Diagnostics in Stochastic Controlled Systems. - Erfaun Noorani; Christoforos Somarakis; Raman Goyal; Alexander Feldman; Shantanu Rane (ICCA, 2022)

Risk Sensitivity and Entropy Regularization in Prototype-based Learning. - Christos N. Mavridis; Erfaun Noorani; John S. Baras (MED, 2022)

Learning-Based Diagnostics for Fault Detection and Isolation in Linear Stochastic Systems. - Erfaun Noorani; Christoforos Somarakis; Raman Goyal; Alexander Feldman; Shantanu Rane (MED, 2022)

Collaborative one-shot beamforming under localization errors: A discrete optimization approach. - Yagiz Savas; Erfaun Noorani; Alec Koppel; John S. Baras; Ufuk Topcu; Brian M. Sadler (Signal Process., 2022)

Exponential TD Learning: A Risk-Sensitive Actor-Critic Reinforcement Learning Algorithm. - Erfaun Noorani; Christos N. Mavridis; John S. Baras (ACC, 2023)

Risk-Sensitive Inhibitory Control for Safe Reinforcement Learning. - Armin Lederer; Erfaun Noorani; John S. Baras; Sandra Hirche (CDC, 2023)

Risk-Sensitive RL Using Sampling-Based Expectation-Maximization. - Erfaun Noorani; John S. Baras; Karl Henrik Johansson (CDC, 2023)

Robust Counterfactual Explanations for Neural Networks With Probabilistic Guarantees. - Faisal Hamman; Erfaun Noorani; Saumitra Mishra; Daniele Magazzeni; Sanghamitra Dutta (ICML, 2023)

Non-ergodicity in reinforcement learning: robustness via ergodicity transformations. - Dominik Baumann; Erfaun Noorani; James Price; Ole Peters; Colm Connaughton; Thomas B. Schön (CoRR, 2023)

Robust Reinforcement Learning via Risk-Sensitivity. - Erfaun Noorani (2023)

Time-Robust Path Planning with Piece-Wise Linear Trajectory for Signal Temporal Logic Specifications. - Nhan-Khanh Le; Erfaun Noorani; Sandra Hirche; John S. Baras (ACC, 2024)

Delay-Induced Watermarking for Detection of Replay Attacks in Linear Systems. - Christoforos Somarakis; Raman Goyal; Erfaun Noorani; Shantanu Rane (ACC, 2024)

Robust Stochastic Shortest-Path Planning via Risk-Sensitive Incremental Sampling. - Clinton Enwerem; Erfaun Noorani; John S. Baras; Brian M. Sadler (CDC, 2024)

Towards Efficient Risk-Sensitive Policy Gradient: An Iteration Complexity Analysis. - Rui Liu; Erfaun Noorani; Pratap Tokekar; John S. Baras (CoRR, 2024)

Robust Algorithmic Recourse Under Model Multiplicity With Probabilistic Guarantees. - Faisal Hamman; Erfaun Noorani; Saumitra Mishra; Daniele Magazzeni; Sanghamitra Dutta (IEEE J. Sel. Areas Inf. Theory, 2024)

Counterfactual Explanations for Model Ensembles Using Entropic Risk Measures. - Erfaun Noorani; Pasan Dissanayake; Faisal Hamman; Sanghamitra Dutta (AAMAS, 2025)

Distributed Risk-Sensitive Safety Filters for Uncertain Discrete-Time Systems. - Armin Lederer; Erfaun Noorani; Andreas Krause 001 (IEEE Control. Syst. Lett., 2025)

Reinforcement learning with non-ergodic reward increments: robustness via ergodicity transformations. - Dominik Baumann; Erfaun Noorani; James Price; Ole Peters; Colm Connaughton; Thomas B. Schön (Trans. Mach. Learn. Res., 2025)

From Abstraction to Reality: DARPA's Vision for Robust Sim-to-Real Autonomy. - Erfaun Noorani; Zachary Serlin; Ben Price; Alvaro Velasquez (CoRR, 2025)

Risk-Sensitive Reinforcement Learning With Exponential Criteria. - Erfaun Noorani; Christos N. Mavridis; John S. Baras (IEEE Trans. Cybern., 2025)