We study discrete-time mean-field Markov games with infinite numbers of agents where
each agent aims to minimize its ergodic cost. We consider the setting where the agents have …

Due to pressing environmental concerns, there is a global consensus to commit to a
sustainable energy future. Germany has embraced Energiewende, a bold sustainable …

Autonomous ride-hailing platforms, such as Waymo and Cruise, are quickly expanding their
services, but their interactions with the existing ride-hailing companies, such as Uber and …

Optimal energy management of smart grids requires the information exchange between
devices, which may disclose private information to the adversaries and further lead to great …

This study examines a ride-hailing platform that employs a mixed fleet of autonomous
vehicles (AVs) and human drivers to offer on-demand ride-hailing services across a network …

This paper assesses the equity impacts of for-hire autonomous vehicles (AVs) and
investigates regulatory policies that promote spatial and social equity in future autonomous …

This brief designs a distributed stochastic annealing algorithm for nonconvex cooperative
aggregative games, whose players' cost functions not only depend on players' own decision …

This paper studies asymptotic solvability of a linear quadratic mean field social optimization
problem with controlled diffusions and indefinite state and control weights. Starting with an N …

Mean field games (MFG) and mean field control (MFC) problems have been introduced to
study large populations of strategic players. They correspond respectively to non …

The value created by aggregating behind-the-meter distributed energy storage devices for
grid services depends on how much storage is in the system and the power network …