Erfaun Noorani

Proceedings of the American Control Conference, 2024

Time-Robust Path Planning with Piece-Wise Linear Trajectory for Signal Temporal Logic Specifications.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2024

2023

Robust Reinforcement Learning via Risk-Sensitivity.

[BibT_eX]

[DOI]

PhD thesis, 2023

Non-ergodicity in reinforcement learning: robustness via ergodicity transformations.

[BibT_eX]

[DOI]

CoRR, 2023

Robust Counterfactual Explanations for Neural Networks With Probabilistic Guarantees.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Risk-Sensitive RL Using Sampling-Based Expectation-Maximization.

[BibT_eX]

[DOI]

Karl Henrik Johansson

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Risk-Sensitive Inhibitory Control for Safe Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Exponential TD Learning: A Risk-Sensitive Actor-Critic Reinforcement Learning Algorithm.

[BibT_eX]

[DOI]

Christos N. Mavridis

Proceedings of the American Control Conference, 2023

2022

Collaborative one-shot beamforming under localization errors: A discrete optimization approach.

[BibT_eX]

[DOI]

Signal Process., 2022

Risk-Sensitive Reinforcement Learning with Exponential Criteria.

[BibT_eX]

[DOI]

Christos N. Mavridis

CoRR, 2022

Learning-Based Diagnostics for Fault Detection and Isolation in Linear Stochastic Systems.

[BibT_eX]

[DOI]

Alexander Feldman

Proceedings of the 30th Mediterranean Conference on Control and Automation, 2022

Risk Sensitivity and Entropy Regularization in Prototype-based Learning.

[BibT_eX]

[DOI]

Christos N. Mavridis

Proceedings of the 30th Mediterranean Conference on Control and Automation, 2022

Model-Assisted Reinforcement Learning for Online Diagnostics in Stochastic Controlled Systems.

[BibT_eX]

[DOI]

Alexander Feldman

Proceedings of the 17th IEEE International Conference on Control & Automation, 2022

Risk-attitudes, Trust, and Emergence of Coordination in Multi-agent Reinforcement Learning Systems: A Study of Independent Risk-sensitive REINFORCE.

[BibT_eX]

[DOI]

Proceedings of the European Control Conference, 2022

Multi-agent Deep Reinforcement Learning for Shock Wave Detection and Dissipation using Vehicle-to-Vehicle Communication.

[BibT_eX]

[DOI]

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Co-Design of Watermarking and Robust Control for Security in Cyber-Physical Systems.

[BibT_eX]

[DOI]

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Embracing Risk in Reinforcement Learning: The Connection between Risk-Sensitive Exponential and Distributionally Robust Criteria.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2022

A Probabilistic Perspective on Risk-sensitive Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2022

2021

Risk-sensitive Reinforcement Learning and Robust Learning for Control.

[BibT_eX]

[DOI]

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Risk-sensitive REINFORCE: A Monte Carlo Policy Gradient Algorithm for Exponential Performance Criteria.

[BibT_eX]

[DOI]