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pro vyhledávání: '"Dustin Morrill"'
Autor:
Julien Perolat, Dustin Morrill, Finbarr Timbers, Karl Tuyls, Jean-Baptiste Lespiau, Edward Lockhart, Marc Lanctot
Publikováno v:
IJCAI
In this paper, we present exploitability descent, a new algorithm to compute approximate equilibria in two-player zero-sum extensive-form games with imperfect information, by direct policy optimization against worst-case opponents. We prove that when
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::24b04d01c8f8cea547412dc7adcbb49f
Autor:
Neil Burch, Viliam Lisý, Michael Johanson, Matej Moravcik, Martin Schmid, Trevor Davis, Dustin Morrill, Kevin Waugh, Michael Bowling, Nolan Bard
Publikováno v:
Science (New York, N.Y.). 356(6337)
Artificial intelligence has seen several breakthroughs in recent years, with games often serving as milestones. A common feature of these games is that players have perfect information. Poker, the quintessential game of imperfect information, is a lo