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- W4320458657 abstract "We improve the framework of open games with agency by showing how the players' counterfactual analysis giving rise to Nash equilibria can be described in the dynamics of the game itself (hence diegetically), getting rid of devices such as equilibrium predicates. This new approach overlaps almost completely with the way gradient-based learners are specified and trained. Indeed, we show feedback propagation in games can be seen as reverse-mode differentiation, with a crucial difference explaining the distinctive character of the phenomenology of non-cooperative games. We outline a functorial construction of arena of games, show players form a subsystem over it, and prove that their `fixpoint behaviours' are Nash equilibria." @default.
- W4320458657 created "2023-02-14" @default.
- W4320458657 creator A5017661221 @default.
- W4320458657 date "2022-06-24" @default.
- W4320458657 modified "2023-09-29" @default.
- W4320458657 title "Diegetic Representation Of Feedback In Open Games" @default.
- W4320458657 doi "https://doi.org/10.48550/arxiv.2206.12338" @default.
- W4320458657 hasPublicationYear "2022" @default.
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