In this paper, online game is studied, where at each time, a group of pl...
This paper considers distributed online convex optimization with adversa...
Wide machine learning tasks can be formulated as non-convex multi-player...
In a stochastic Stackelberg asymmetric security game, the strong Stackel...
There has been significant recent interest in leader-follower security g...
Game theory has by now found numerous applications in various fields,
in...
No-regret learning has been widely used to compute a Nash equilibrium in...
This paper considers no-regret learning for repeated continuous-kernel g...
Communication has been seen as a significant bottleneck in industrial
ap...
In this paper, we employ a hypergame framework to analyze the
single-lea...
Due to the growing awareness of driving safety and the development of
so...
Distributed linear algebraic equation over networks, where nodes hold a ...
This paper considers a distributed stochastic strongly convex optimizati...
In this paper, a distributed optimization problem is investigated via in...