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This is fascinating stuff. So do I understand this right, Liberatus worked using computing the Nash equilibrium, while the new multiplayer version works using s
by auggierose 7y ago
This is fascinating stuff. So do I understand this right, Liberatus worked using computing the Nash equilibrium, while the new multiplayer version works using self-play like AlphaGo Zero? Did you run the multiplayer version against the two-player version? If yes, how did it go? Could you recommend a series of books / papers that can take me from zero to being able to reprogram this (I know programming and mathematics, but not much statistics)? And how much computing resources / time did it take to train your bot?
- noambrown 7y agoTraining was super cheap. It would cost under $150 on cloud computing services. The training aspect has some improvements but is at its core similar to Libratus. The search algorithm is the biggest difference. There aren't that many great resources out there for helping new people get caught up to speed on this area. That's something we hope to fix in the future. Maybe this would be a good place to start? http://modelai.gettysburg.edu/2013/cfr/cfr.pdf http://modelai.gettysburg.edu/2013/cfr/cfr.pdf
- dharma1 7y agoIs Oskari Tammelin still working on this stuff? I remember he wrote some very fast CFR optimisations a few years ago