2 citations · 3 across the 3 of their papers we have counts for
4 papers
Bounding the Inefficiency of Route Control in Intelligent Transport Systems
Charlotte Roman, Paolo Turrini
Route controlled autonomous vehicles could have a significant impact in reducing congestion in the future. Before applying multi-agent reinforcement learning algorithms to route co…
Accumulating Risk Capital Through Investing in Cooperation
Charlotte Roman, Michael Dennis, Andrew Critch +1
Recent work on promoting cooperation in multi-agent learning has resulted in many methods which successfully promote cooperation at the cost of becoming more vulnerable to exploita…
Reducing selfish routing inefficiencies using traffic lights
Charlotte Roman, Paolo Turrini
Traffic congestion games abstract away from the costs of junctions in transport networks, yet, in urban environments, these often impact journey times significantly. In this paper…
How does information affect asymmetric congestion games?
Charlotte Roman, Paolo Turrini
We study traffic networks with multiple origin-destination pairs, relaxing the simplifying assumption of agents having complete knowledge of the network structure. We identify a ub…