3 ms·
Do a search for "long term" in online poker and you'll find that the suggestion for players to determine their level of play based on that "long term" is someth
by gexla 10y ago
Do a search for "long term" in online poker and you'll find that the suggestion for players to determine their level of play based on that "long term" is something like one million hands. That's running 4 tables for full days of poker over a long period of time. For sure it's playing more than 4 players.
The probability space of poker is such that 4 competitors isn't going to tell you much.
And defining "top" is difficult because "top" may be more celebrity than anything. Everyone has their different objectives. If you are "top" then you sure as didn't get there by building a case history against AI poker bots. Give these guys a chance to adjust, and give them a chance to figure out why the effort to adjust might be worth bothering with.
- spectrum1234 10y agoThey played in pairs using mirrored hands and did equity splits when all in. This eliminated not all, but a large amount of variance.
- halflings 10y agoFrom the article: > A poker-playing AI has beaten four human players in a marathon match lasting 20 days. 20 days seems like plenty of time. No ?
- deleted 10y ago[deleted]
- mod 10y agoNo, the number of hands is relevant here, not the number of days played.
- deleted 10y ago[deleted]
- 6nf 10y agoThey won 14.7 big blinds per 100 hands, playing 120k hands. That's a pretty good win rate and a decent sample size but I don't know how to calculate the p value