Earlier quoted context omitted.
It does bluff, but that’s not my point. My issue is that it bluffs without consideration of its opponent. High level strategic play of most games is about adapting to your opponents play. This bot does not do that. It is secretly a giant lookup table of game state to response. In the case of poker, it appears that adaptability is not as good as pure mathematical optimization. Humans can adapt their strategy, but it’s…
> High level strategic play of most games is about adapting to your opponents play. Is this true in any meaningful sense? For heavily studied games there's usually a theoretically optimal play independent of the opponent's interior state, this is obviously true for all the "Solved" games, which includes the simpler Heads Up Limit Hold 'Em poker (solved by Alberta's Cepheus project) but it seem pretty clearly true for…
In an n-player game, a table can be in a (perhaps unstable) equilibrium which the "optimal" strategy will lose at. This has been demonstrated for something as simple as iterated prisoners' dilemma (tit-for-tat is "best" for most populations, but there are populations that a tit-for-tat player will lose to). I don't play poker but I've definitely experienced that in (riichi) mahjong - if you play for high-value hands the way you would in a pro league, on a table where the other three players are going for the fastest hands possible, you will likely lose.