4 papers
Language-Structured Relational Q-Learning for Threat-Aware Control in Safety-Critical Driving
Aditya Humnabadkar, Huaizhong Zhang, Ardhendu Behera
Natural-language-based scenario generation offers an intuitive means of describing rare and complex driving interactions, yet it is still uncertain whether training with language-s…
From Virtual Environments to Real-World Trials: Emerging Trends in Autonomous Driving
A. Humnabadkar, A. Sikdar, B. Cave +3
Autonomous driving technologies have achieved significant advances in recent years, yet their real-world deployment remains constrained by data scarcity, safety requirements, and t…
Network Structure in UK Payment Flows: Evidence on Economic Interdependencies and Implications for Real-Time Measurement
Aditya Humnabadkar
Network analysis of inter-industry payment flows reveals structural economic relationships invisible to traditional bilateral measurement approaches, with significant implications…
High-Order Evolving Graphs for Enhanced Representation of Traffic Dynamics
Aditya Humnabadkar, Arindam Sikdar, Benjamin Cave +3
We present an innovative framework for traffic dynamics analysis using High-Order Evolving Graphs, designed to improve spatio-temporal representations in autonomous driving context…