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cs.RO2025
Z-Merge: Multi-Agent Reinforcement Learning for On-Ramp Merging with Zone-Specific V2X Traffic Information
Yassine Ibork, Myounggyu Won, Lokesh Das
Ramp merging is a critical and challenging task for autonomous vehicles (AVs), particularly in mixed traffic environments with human-driven vehicles (HVs). Existing approaches typi…
cs.CR2025
RESTRAIN: Reinforcement Learning-Based Secure Framework for Trigger-Action IoT Environment
Md Morshed Alam, Lokesh Chandra Das, Sandip Roy +2
Internet of Things (IoT) platforms with trigger-action capability allow event conditions to trigger actions in IoT devices autonomously by creating a chain of interactions. Adversa…