18 citations · 50 across the 9 of their papers we have counts for
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eess.SY2022★ 1 cited
Risk-Sensitive Reinforcement Learning with Exponential Criteria
Erfaun Noorani, Christos Mavridis, John Baras
While reinforcement learning has shown experimental success in a number of applications, it is known to be sensitive to noise and perturbations in the parameters of the system, lea…
cs.LG2022★ 4 cited
Multi-Resolution Online Deterministic Annealing: A Hierarchical and Progressive Learning Architecture
Christos Mavridis, John Baras
Hierarchical learning algorithms that gradually approximate a solution to a data-driven optimization problem are essential to decision-making systems, especially under limitations…
eess.SY2022★ 13 cited
Annealing Optimization for Progressive Learning with Stochastic Approximation
Christos Mavridis, John Baras
In this work, we introduce a learning model designed to meet the needs of applications in which computational resources are limited, and robustness and interpretability are priorit…