DeepStack: Expert-Level Artiﬁcial Intelligence In Heads-Up No-Limit Poker

Re:DeepStack: Expert-Level Artiﬁcial Intelligence In Heads-U... by jumpCastle on Thursday March 16, 2017 @05:50PM (#13889533)

Thanks again. So I guess for multiplayer games a better approach would be reinforcement learning with no game theoretic heuristics?

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Re:DeepStack: Expert-Level Artiﬁcial Intelligence In Heads-U... by xapata on Friday March 17, 2017 @12:14AM (#13891435)

Game theory is always applicable to games :-)

Nash equilibrium is just one aspect of some games.

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Re:DeepStack: Expert-Level Artiﬁcial Intelligence In Heads-U... by jumpCastle on Friday March 17, 2017 @01:31AM (#13891750)

Game theory is domain specific. Generic methods in AI tend to dominate domain knowledge over time. Although I agree that other game-theoretic techniques might help here.

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Re:DeepStack: Expert-Level Artiﬁcial Intelligence In Heads-U... by xapata on Friday March 17, 2017 @09:59AM (#13894004)

Game theory is specific to the domain of agents optimizing outcome in adversarial, cooperative, or (rarely) solitary systems. That's a pretty big domain.

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