2022
Transferring Multi-Agent Reinforcement Learning Policies for Autonomous Driving using Sim-to-Real
Eduardo Candela, Leandro Parada, Luis Marques, Tiberiu-Andrei Georgescu, Yiannis Demiris, Panagiotis Angeloudis
IROS 2022poster
Autonomous Driving requires high levels of coordination and collaboration between agents. Achieving effective coordination in multi-agent systems is a difficult task that remains largely unresolved. Multi-Agent Reinforcement Learning has arisen as a powerful method to accomplish this task because it…