Mastering Stratego, the classic game of imperfect information

Re:Mastering Stratego, the classic game of imperfect informa... by dasil003 on Thursday December 01, 2022 @06:21PM (#33824484)

> The problem here is that it's missing the "glue" to more real world applications. This is where more humdrum software engineering comes in.

This is a bold statement. The world does not function based on "well-defined rewards". The concept of "common sense", which some consider table stakes for a human operating competently in our world, is mostly made up of things which are neither well-defined, nor allow a tremendous amount of training data. Current ML approaches require both.

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Re:Mastering Stratego, the classic game of imperfect informa... by VHRanger on Thursday December 01, 2022 @06:26PM (#33824543)

Correct, but there are likely applications of AI in strategic reasoning that are used in the real world (outside the obvious finance bots) by engineering a "translation layer" from real world constraints to AI-compatible value functions and back.

But in general, yes, this is why since 2013 we don't see AI making anywhere as massive strides everywhere as they do in boxed-in applications like games.

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Re:Mastering Stratego, the classic game of imperfect informa... by roenxi on Friday December 02, 2022 @02:08AM (#33827755)

> The world does not function based on "well-defined rewards".

Humans can be neatly reduced to a "procreate, and make sure your progeny procreate" value function. A lot of apparent counterexamples to that turn out to make sense when 2nd order effects on progeny are considered.

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Re:Mastering Stratego, the classic game of imperfect informa... by FeepingCreature on Friday December 02, 2022 @06:16AM (#33829075)

Humans are adaptation-executors, not fitness-maximizers. Evolution has a procreation value function; humans have procreation-favoring traits.

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