most citedIntNet: A Communication-Driven Multi-Agent Reinforcement Learning Framework for Cooperative Autonomous Driving

10 citations · 10 across the 1 of their papers we have counts for

collaborators

1 paper

cs.RO2026★ 10 cited

IntNet: A Communication-Driven Multi-Agent Reinforcement Learning Framework for Cooperative Autonomous Driving

Leandro Parada, Kevin Yu, Panagiotis Angeloudis

Achieving safety in autonomous driving through Multi-Agent Reinforcement Learning (MARL) is a critical yet challenging task due to non-stationarity, partial observability, and the…