Ammar N. Abbas

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 7

Top Topics

Function Approximators

Multiple Layers

Markov Decision Processes

Reinforcement Learning

Top Venues

Data Knowl. Eng.

Publications

Ammar N. Abbas, Georgios C. Chasparis, John D. Kelleher
Hierarchical framework for interpretable and specialized deep reinforcement learning-based predictive maintenance. Data Knowl. Eng. 149 (2024)
Ammar N. Abbas, Chidera W. Amazu, Joseph Mietkiewicz, Houda Briwa, Andres Alonzo Perez, Gabriele Baldissone, Micaela Demichela, Georgios C. Chasparis, John D. Kelleher, Maria Chiara Leva
Analyzing Operator States and the Impact of AI-Enhanced Decision Support in Control Rooms: A Human-in-the-Loop Specialized Reinforcement Learning Framework for Intervention Strategies. CoRR (2024)
Ammar N. Abbas, Shakra Mehak, Georgios C. Chasparis, John D. Kelleher, Michael Guilfoyle, Maria Chiara Leva, Aswin K. Ramasubramanian
Safety-Driven Deep Reinforcement Learning Framework for Cobots: A Sim2Real Approach. CoRR (2024)
Ammar N. Abbas, Georgios C. Chasparis, John D. Kelleher
Hierarchical Framework for Interpretable and Probabilistic Model-Based Safe Reinforcement Learning. CoRR (2023)
Ammar N. Abbas, Georgios C. Chasparis, John D. Kelleher
Specialized Deep Residual Policy Safe Reinforcement Learning-Based Controller for Complex and Continuous State-Action Spaces. CoRR (2023)
Ammar N. Abbas, Georgios C. Chasparis, John D. Kelleher
Interpretable Input-Output Hidden Markov Model-Based Deep Reinforcement Learning for the Predictive Maintenance of Turbofan Engines. DaWaK (2022)
Ammar N. Abbas, Georgios C. Chasparis, John D. Kelleher
Interpretable Hidden Markov Model-Based Deep Reinforcement Learning Hierarchical Framework for Predictive Maintenance of Turbofan Engines. CoRR (2022)