3 papers
cs.RO2026
Reinforcement Learning Enhancement Using Vector Semantic Representation and Symbolic Reasoning for Human-Centered Autonomous Emergency Braking
Vinal Asodia, Iman Sharifi, Saber Fallah
The problem with existing camera-based Deep Reinforcement Learning approaches is twofold: they rarely integrate high-level scene context into the feature representation, and they r…
cs.LG2025
Symbolic Imitation Learning: From Black-Box to Explainable Driving Policies
Iman Sharifi, Mustafa Yildirim, Saber Fallah
Current imitation learning approaches, predominantly based on deep neural networks (DNNs), offer efficient mechanisms for learning driving policies from real-world datasets. Howeve…
cs.RO2025
Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey
Kamal Acharya, Iman Sharifi, Mehul Lad +2
Neurosymbolic AI combines neural network adaptability with symbolic reasoning, promising an approach to address the complex regulatory, operational, and safety challenges in Advanc…