Recent reinforcement learning (RL) methods have achieved success in vari...
Both data ferrying with disruption-tolerant networking (DTN) and mobile
...
Recently, mean field control (MFC) has provided a tractable and theoreti...
In recent years, reinforcement learning and its multi-agent analogue hav...
The field of multi-agent reinforcement learning (MARL) has made consider...
Although the field of multi-agent reinforcement learning (MARL) has made...
The analysis and control of large-population systems is of great interes...
The optimal offloading of tasks in heterogeneous edge-computing scenario...
Recent years have seen a great increase in the capacity and parallel
pro...
Social bots are referred to as the automated accounts on social networks...
We propose an approach to modelling large-scale multi-agent dynamical sy...
Recent advances at the intersection of dense large graph limits and mean...
Collision avoidance algorithms are of central interest to many drone
app...
Multi-agent reinforcement learning methods have shown remarkable potenti...
The recent mean field game (MFG) formalism facilitates otherwise intract...