This will be interesting to see. Brown and Sandholm's algorithm aims to play a Nash Equilibrium which by deifnition _cannot_ be exploited by a single opponent

This will be interesting to see. Brown and Sandholm's algorithm aims to play a Nash Equilibrium which by deifnition _cannot_ be exploited by a single opponent player as long as all players are playing the equilibrium strategy. As they note in the paper this gives you a strong optimality guarantee in the 2-player setting. It was unclear whether this would transfer to real-world winnings in the multi-player case, and while it looks like it does for now (for current strategy-profiles of human players) humans might be able to adapt to the strategy played by the bot. Given the fact that the bot wins against current human strategy-profiles in the n-player setting, it's likely (but not a sure thing) that human players will have to team-up against the bot to exploit it. That seems rather unlikely to me.