The designs of many large-scale systems today, from traffic routing
envi...
Non-cooperative and cooperative games with a very large number of player...
The recent emergence of navigational tools has changed traffic patterns ...
Mean Field Games (MFGs) can potentially scale multi-agent systems to
ext...
Concave Utility Reinforcement Learning (CURL) extends RL from linear to
...
We present a method enabling a large number of agents to learn how to fl...
We address scaling up equilibrium computation in Mean Field Games (MFGs)...
In this paper, we deepen the analysis of continuous time Fictitious Play...
Portfolio optimization emerged with the seminal paper of Markowitz (1952...