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most citedInterpretable Hidden Markov Model-Based Deep Reinforcement Learning Hierarchical Framework for Predictive Maintenance of Turbofan Engines

11 citations · 22 across the 7 of their papers we have counts for

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cs.AI2023

Hierarchical Framework for Interpretable and Probabilistic Model-Based Safe Reinforcement Learning

Ammar N. Abbas, Georgios C. Chasparis, John D. Kelleher

The difficulty of identifying the physical model of complex systems has led to exploring methods that do not rely on such complex modeling of the systems. Deep reinforcement learni…

cs.LG2023★ 1 cited

Specialized Deep Residual Policy Safe Reinforcement Learning-Based Controller for Complex and Continuous State-Action Spaces

Ammar N. Abbas, Georgios C. Chasparis, John D. Kelleher

Traditional controllers have limitations as they rely on prior knowledge about the physics of the problem, require modeling of dynamics, and struggle to adapt to abnormal situation…