Mean Field Games (MFG) have been introduced to tackle games with a large number of
competing players. Considering the limit when the number of players is infinite, Nash …

Non-cooperative and cooperative games with a very large number of players have many
applications but remain generally intractable when the number of players increases …

Social dilemmas are situations of inter-dependent decision making in which individual
rationality can lead to outcomes with poor social qualities. The ubiquity of social dilemmas in …

Particle filter is an effective tool for vehicle tracking. However, we need to maintain a large
number of particles to keep a reasonable tracking accuracy for multi-target tracking in large …

Accurate and robust state estimation is a fundamental problem in signal processing. Particle
filter is an effective tool to solve the filtering problem in nonlinear stochastic dynamic …

From understanding the spreading of an epidemic to optimizing traffic flow or biological
swarming, multi-agent systems are ubiquitous in nature and engineering. However, if recent …

In this paper, we suggest a new approach called the return function to deal with the
determination of Bayesian–Nash equilibria in games of incomplete information. Whereas in …

We introduce networked communication to the mean-field game framework, in particular to
oracle-free settings where $ N $ decentralised agents learn along a single, non-episodic run …

One of the fundamental challenges in distributed interactive systems is to design efficient,
accurate, and fair solutions. In such systems, a satisfactory solution is an innovative …

In wireless communication networks, many protocols (eg, IEEE 802.11 a/b/g Medium Access
Control (MAC) protocols) have been designed assuming that users are compliant with the …