Pseudo-visibility: A Game Mechanic Involving Willful Ignorance

نویسندگان

چکیده

We present a game mechanic called pseudo-visibility for games inhabited by non-player characters (NPCs) driven reinforcement learning (RL). NPCs are incentivized to pretend they cannot see pseudo-visible players: the training environment simulates an NPC determine how would act if player were invisible, and penalizes acting differently. thereby trained selectively ignore players, except when judge that reaction penalty is acceptable tradeoff (e.g., guard might accept in order protect treasure because losing hurt even more). describe RL agent transformation which allows agents not otherwise do so perform some limited self-reflection learn environments question.

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ژورنال

عنوان ژورنال: Proceedings of the ... International Florida Artificial Intelligence Research Society Conference

سال: 2022

ISSN: ['2334-0762', '2334-0754']

DOI: https://doi.org/10.32473/flairs.v35i.130652