24 citations · 45 across the 21 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…