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2020 – today
- 2024
[j2]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: 357-368 (2024)- [c17]Nhan-Khanh Le, Erfaun Noorani, Sandra Hirche, John S. Baras:
Time-Robust Path Planning with Piece-Wise Linear Trajectory for Signal Temporal Logic Specifications. ACC 2024: 4133-4140 - [c16]Christoforos Somarakis, Raman Goyal, Erfaun Noorani, Shantanu Rane:
Delay-Induced Watermarking for Detection of Replay Attacks in Linear Systems. ACC 2024: 5505-5510 - [i10]Rui Liu, Erfaun Noorani, Pratap Tokekar, John S. Baras:
Towards Efficient Risk-Sensitive Policy Gradient: An Iteration Complexity Analysis. CoRR abs/2403.08955 (2024) - [i9]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 abs/2403.10735 (2024) - [i8]Christoforos Somarakis, Raman Goyal, Erfaun Noorani, Shantanu Rane:
Delay-Induced Watermarking for Detection of Replay Attacks in Linear Systems. CoRR abs/2404.00850 (2024) - [i7]Clinton Enwerem, Erfaun Noorani, John S. Baras, Brian M. Sadler:
Robust Stochastic Shortest-Path Planning via Risk-Sensitive Incremental Sampling. CoRR abs/2408.08668 (2024) - 2023
- [b1]Erfaun Noorani:
Robust Reinforcement Learning via Risk-Sensitivity. University of Maryland, College Park, MD, USA, 2023 - [c15]Erfaun Noorani, Christos N. Mavridis, John S. Baras:
Exponential TD Learning: A Risk-Sensitive Actor-Critic Reinforcement Learning Algorithm. ACC 2023: 4104-4109 - [c14]Armin Lederer, Erfaun Noorani, John S. Baras, Sandra Hirche:
Risk-Sensitive Inhibitory Control for Safe Reinforcement Learning. CDC 2023: 1040-1045 - [c13]Erfaun Noorani, John S. Baras, Karl Henrik Johansson:
Risk-Sensitive RL Using Sampling-Based Expectation-Maximization. CDC 2023: 7015-7020 - [c12]Faisal Hamman, Erfaun Noorani, Saumitra Mishra, Daniele Magazzeni, Sanghamitra Dutta:
Robust Counterfactual Explanations for Neural Networks With Probabilistic Guarantees. ICML 2023: 12351-12367 - [i6]Faisal Hamman, Erfaun Noorani, Saumitra Mishra, Daniele Magazzeni, Sanghamitra Dutta:
Robust Counterfactual Explanations for Neural Networks With Probabilistic Guarantees. CoRR abs/2305.11997 (2023) - [i5]Armin Lederer, Erfaun Noorani, John S. Baras, Sandra Hirche:
Risk-Sensitive Inhibitory Control for Safe Reinforcement Learning. CoRR abs/2310.01538 (2023) - [i4]Dominik Baumann, Erfaun Noorani, James Price, Ole Peters, Colm Connaughton, Thomas B. Schön:
Non-ergodicity in reinforcement learning: robustness via ergodicity transformations. CoRR abs/2310.11335 (2023) - 2022
- [j1]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: 108647 (2022) - [c11]Erfaun Noorani, John S. Baras:
A Probabilistic Perspective on Risk-sensitive Reinforcement Learning. ACC 2022: 2697-2702 - [c10]Erfaun Noorani, John S. Baras:
Embracing Risk in Reinforcement Learning: The Connection between Risk-Sensitive Exponential and Distributionally Robust Criteria. ACC 2022: 2703-2708 - [c9]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: 4072-4077 - [c8]Raman Goyal, Christoforos Somarakis, Erfaun Noorani, Shantanu Rane:
Co-Design of Watermarking and Robust Control for Security in Cyber-Physical Systems. CDC 2022: 4821-4826 - [c7]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: 2266-2271 - [c6]Erfaun Noorani, Christoforos Somarakis, Raman Goyal, Alexander Feldman, Shantanu Rane:
Model-Assisted Reinforcement Learning for Online Diagnostics in Stochastic Controlled Systems. ICCA 2022: 338-345 - [c5]Christos N. Mavridis, Erfaun Noorani, John S. Baras:
Risk Sensitivity and Entropy Regularization in Prototype-based Learning. MED 2022: 194-199 - [c4]Erfaun Noorani, Christoforos Somarakis, Raman Goyal, Alexander Feldman, Shantanu Rane:
Learning-Based Diagnostics for Fault Detection and Isolation in Linear Stochastic Systems. MED 2022: 761-766 - [i3]Raman Goyal, Christoforos Somarakis, Erfaun Noorani, Shantanu Rane:
Co-Design of Watermarking and Robust Control for Security in Cyber-Physical Systems. CoRR abs/2209.06267 (2022) - [i2]Erfaun Noorani, Christos N. Mavridis, John S. Baras:
Risk-Sensitive Reinforcement Learning with Exponential Criteria. CoRR abs/2212.09010 (2022) - 2021
- [c3]Erfaun Noorani, Yagiz Savas, Alec Koppel, John S. Baras, Ufuk Topcu, Brian M. Sadler:
Collaborative Beamforming for Agents with Localization Errors. ACSCC 2021: 204-208 - [c2]Erfaun Noorani, John S. Baras:
Risk-sensitive REINFORCE: A Monte Carlo Policy Gradient Algorithm for Exponential Performance Criteria. CDC 2021: 1522-1527 - [c1]Erfaun Noorani, John S. Baras:
Risk-sensitive Reinforcement Learning and Robust Learning for Control. CDC 2021: 2976-2981 - 2020
- [i1]Erfaun Noorani, Yagiz Savas, Alec Koppel, John S. Baras, Ufuk Topcu, Brian M. Sadler:
Distributed Beamforming for Agents with Localization Errors. CoRR abs/2003.12637 (2020)
Coauthor Index
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last updated on 2024-09-26 01:51 CEST by the dblp team
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