Erfaun Noorani

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 26

Top Topics

Markov Decision Chains

Policy Gradient

Reinforcement Learning

Optimality Criterion

Top Venues

Publications

Nhan-Khanh Le, Erfaun Noorani, Sandra Hirche, John S. Baras
Time-Robust Path Planning with Piece-Wise Linear Trajectory for Signal Temporal Logic Specifications. CoRR (2024)
Christoforos Somarakis, Raman Goyal, Erfaun Noorani, Shantanu Rane
Delay-Induced Watermarking for Detection of Replay Attacks in Linear Systems. CoRR (2024)
Faisal Hamman, Erfaun Noorani, Saumitra Mishra, Daniele Magazzeni, Sanghamitra Dutta
Robust Algorithmic Recourse Under Model Multiplicity With Probabilistic Guarantees. IEEE J. Sel. Areas Inf. Theory 5 (2024)
Rui Liu, Erfaun Noorani, Pratap Tokekar, John S. Baras
Towards Efficient Risk-Sensitive Policy Gradient: An Iteration Complexity Analysis. CoRR (2024)
Faisal Hamman, Erfaun Noorani, Saumitra Mishra, Daniele Magazzeni, Sanghamitra Dutta
Robust Counterfactual Explanations for Neural Networks With Probabilistic Guarantees. CoRR (2023)
Dominik Baumann, Erfaun Noorani, James Price, Ole Peters, Colm Connaughton, Thomas B. Schön
Non-ergodicity in reinforcement learning: robustness via ergodicity transformations. CoRR (2023)
Erfaun Noorani, Christos N. Mavridis, John S. Baras
Exponential TD Learning: A Risk-Sensitive Actor-Critic Reinforcement Learning Algorithm. ACC (2023)
Armin Lederer, Erfaun Noorani, John S. Baras, Sandra Hirche
Risk-Sensitive Inhibitory Control for Safe Reinforcement Learning. CoRR (2023)
Erfaun Noorani, John S. Baras, Karl Henrik Johansson
Risk-Sensitive RL Using Sampling-Based Expectation-Maximization. CDC (2023)
Faisal Hamman, Erfaun Noorani, Saumitra Mishra, Daniele Magazzeni, Sanghamitra Dutta
Robust Counterfactual Explanations for Neural Networks With Probabilistic Guarantees. ICML (2023)
Armin Lederer, Erfaun Noorani, John S. Baras, Sandra Hirche
Risk-Sensitive Inhibitory Control for Safe Reinforcement Learning. CDC (2023)
Erfaun Noorani, John S. Baras
Risk-attitudes, Trust, and Emergence of Coordination in Multi-agent Reinforcement Learning Systems: A Study of Independent Risk-sensitive REINFORCE. ECC (2022)
Erfaun Noorani, Christoforos Somarakis, Raman Goyal, Alexander Feldman, Shantanu Rane
Learning-Based Diagnostics for Fault Detection and Isolation in Linear Stochastic Systems. MED (2022)
Raman Goyal, Christoforos Somarakis, Erfaun Noorani, Shantanu Rane
Co-Design of Watermarking and Robust Control for Security in Cyber-Physical Systems. CoRR (2022)
Erfaun Noorani, John S. Baras
Embracing Risk in Reinforcement Learning: The Connection between Risk-Sensitive Exponential and Distributionally Robust Criteria. ACC (2022)
Nilesh Suriyarachchi, Erfaun Noorani, Faizan M. Tariq, John S. Baras
Multi-agent Deep Reinforcement Learning for Shock Wave Detection and Dissipation using Vehicle-to-Vehicle Communication. CDC (2022)
Raman Goyal, Christoforos Somarakis, Erfaun Noorani, Shantanu Rane
Co-Design of Watermarking and Robust Control for Security in Cyber-Physical Systems. CDC (2022)
Christos N. Mavridis, Erfaun Noorani, John S. Baras
Risk Sensitivity and Entropy Regularization in Prototype-based Learning. MED (2022)
Erfaun Noorani, Christos N. Mavridis, John S. Baras
Risk-Sensitive Reinforcement Learning with Exponential Criteria. CoRR (2022)
Erfaun Noorani, Christoforos Somarakis, Raman Goyal, Alexander Feldman, Shantanu Rane
Model-Assisted Reinforcement Learning for Online Diagnostics in Stochastic Controlled Systems. ICCA (2022)
Yagiz Savas, Erfaun Noorani, Alec Koppel, John S. Baras, Ufuk Topcu, Brian M. Sadler
Collaborative one-shot beamforming under localization errors: A discrete optimization approach. Signal Process. 200 (2022)
Erfaun Noorani, John S. Baras
A Probabilistic Perspective on Risk-sensitive Reinforcement Learning. ACC (2022)
Erfaun Noorani, John S. Baras
Risk-sensitive Reinforcement Learning and Robust Learning for Control. CDC (2021)
Erfaun Noorani, Yagiz Savas, Alec Koppel, John S. Baras, Ufuk Topcu, Brian M. Sadler
Collaborative Beamforming for Agents with Localization Errors. ACSCC (2021)
Erfaun Noorani, John S. Baras
Risk-sensitive REINFORCE: A Monte Carlo Policy Gradient Algorithm for Exponential Performance Criteria. CDC (2021)
Erfaun Noorani, Yagiz Savas, Alec Koppel, John S. Baras, Ufuk Topcu, Brian M. Sadler
Distributed Beamforming for Agents with Localization Errors. CoRR (2020)