2 citations · 2 across the 4 of their papers we have counts for
4 papers
Safe and Efficient Manoeuvring for Emergency Vehicles in Autonomous Traffic using Multi-Agent Proximal Policy Optimisation
Leandro Parada, Eduardo Candela, Luis Marques +1
Manoeuvring in the presence of emergency vehicles is still a major issue for vehicle autonomy systems. Most studies that address this topic are based on rule-based methods, which c…
A Decentralised Multi-Agent Reinforcement Learning Approach for the Same-Day Delivery Problem
Elvin Ngu, Leandro Parada, Jose Javier Escribano Macias +1
Same-Day Delivery services are becoming increasingly popular in recent years. These have been usually modelled by previous studies as a certain class of Dynamic Vehicle Routing Pro…
Transferring Multi-Agent Reinforcement Learning Policies for Autonomous Driving using Sim-to-Real
Eduardo Candela, Leandro Parada, Luis Marques +3
Autonomous Driving requires high levels of coordination and collaboration between agents. Achieving effective coordination in multi-agent systems is a difficult task that remains l…
Identifying Critical Fleet Sizes Using a Novel Agent-Based Modelling Framework for Autonomous Ride-Sourcing
Renos Karamanis, He-in Cheong, Simon Hu +2
Ride-sourcing platforms enable an on-demand shared transport service by solving decision problems often related to customer matching, pricing and vehicle routing. These problems ha…