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| Slumbot NL: Solving Large Games with Counterfactual Regret.. http://poker-ai.org/phpbb/viewtopic.php?f=25&t=2531 |
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| Author: | Isildur11 [ Tue Jul 16, 2013 7:27 pm ] |
| Post subject: | Slumbot NL: Solving Large Games with Counterfactual Regret.. |
Abstract Slumbot NL is a heads-up no-limit hold'em poker bot built with a distributed disk-based implementation of counterfactual regret minimization (CFR). Our implementation enables us to solve a large abstraction on commodity hardware in a cost-effective fashion. A variant of the Public Chance Sampling (PCS) version of CFR is employed which works particularly well with our architecture. http://www.aaai.org/ocs/index.php/WS/AA ... /view/7044 |
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| Author: | cantina [ Tue Jul 16, 2013 7:52 pm ] |
| Post subject: | Re: Slumbot NL: Solving Large Games with Counterfactual Regr |
Unless I missed it, they don't make note of the size on disk. I'm guessing it was roughly that of their HUL bot last year: 500gb. |
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| Author: | thewannabe [ Thu Sep 12, 2013 7:01 pm ] |
| Post subject: | Re: Slumbot NL: Solving Large Games with Counterfactual Regr |
Nasher wrote: Unless I missed it, they don't make note of the size on disk. I'm guessing it was roughly that of their HUL bot last year: 500gb. I asked Mr. Jackson a couple questions about this, this was his response: Eric Jackson wrote: I used nine machines, but most of them were pretty low-end. All running Linux. One machine had 8 gigs of RAM, but most just had 2 gigs. Didn't use multithreading, but on the more powerful machine had two processes running at once. Trained for about four months. Combined size of the data was probably around 150 GB.
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