manuel wrote:
Thats a nice bookmark thanks. I read a few of those publications, but as a matter of fact it is impossible to read and understand all of them (as a non native english speaker) in acceptable time.
I am starting at point zero and want to build my own bot with state of the art approaches, hopefully to be able take part at the ACPC. But at the moment it wont make sense to read all papers as some of them are certainly outdated.
So I am asking you for some hints on what to read exactly. Just some catchwords of techniques that are absolutely necessary would be fine. My current state is that CFR is the most efficient (better least inefficient) poker algorithm, with fictious play I approximate the ε nash-Equilibrium, and I need lossless card isomorphisms and lossy bucketing to fit the gametree in memory.
Are there other things that I have to take into account to create an agent that performs well?
I find them nearly impossible to read and I am a native English speaker. The more recent papers usually reference earlier ones so there aren't many short cuts. A key concept in memory reduction is imperfect recall. Clustering is used to categorize boards. Different sampling techniques are used: public chance sampling, chance sampling, external sampling
I can't really help much more because I use my own technique.
https://www.google.co.uk/search?q=site% ... 2&ie=UTF-8
https://www.google.co.uk/search?q=site% ... ect+recallStatistics: Posted by spears — Wed Mar 19, 2014 2:55 pm
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