The existing reinforcement learning approaches have been suffering from the curse of dimension problem when they are applied to multiagent dynamic environments. One of the typical...
In previous papers we have presented our autonomous poker playing agent (SARTRE) that uses a memory-based approach to create a betting strategy for two-player, limit Texas Hold’e...
Many real life situations, like the financial market, auctions and resources competitions, can be modeled as Minority Games. In minority games, players choose to join one of the ...
In a team-based multiagent system, the ability to construct a model of an opponent team's joint behavior can be useful for determining an agent's expected distribution o...
A Nash Equilibrium is a joint strategy profile at which each agent myopically plays a best response to the other agents’ strategies, ignoring the possibility that deviating fro...
Amos Fiat, Elias Koutsoupias, Katrina Ligett, Yish...