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A Deep Q Learning-Model Predictive Control Approach to vehicle routing and control with platoon constraints.

, , , and . CASE, page 563-568. IEEE, (2022)

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Logic Explained Networks, , , , , , and . (2021)cite LENs.Entropy-based Logic Explanations of Neural Networks., , , , , and . CoRR, (2021)T-norms driven loss functions for machine learning., , , , and . Appl. Intell., 53 (15): 18775-18789 (August 2023)A Set-Theoretic Receding Horizon Control Based on a Q-Learning Approach for Sustainability Purposes., , , and . CoDIT, page 1049-1054. IEEE, (2023)A Neural Network and Model Predictive Control Based Resilient Architecture for Constrained Cyber-Physical Systems., , , and . CoDIT, page 883-888. IEEE, (2023)Enhancing Embedding Representations of Biomedical Data using Logic Knowledge., , , , , and . IJCNN, page 1-8. IEEE, (2023)Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off., , , , , , , , , and 2 other author(s). NeurIPS, (2022)Set-theoretic receding horizon control for nonlinear systems: a data-driven approach., , , and . EUROCON, page 579-584. IEEE, (2023)Autonomous Vehicle Platoons in Urban Road Networks: A Joint Distributed Reinforcement Learning and Model Predictive Control Approach., , , , , and . IEEE CAA J. Autom. Sinica, 11 (1): 141-156 (January 2024)Logic Explained Networks., , , , , , and . NeSy, volume 3432 of CEUR Workshop Proceedings, page 432-433. CEUR-WS.org, (2023)