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Recursive Joint Simulation in Games
In this paper, we study an interaction between AI agents where the agents run a recursive joint simulation.
Approximation capability of neural networks on spaces of probability measures and tree-structured domains
This paper extends the proof of density of neural networks in the space of continuous (or even measurable) functions on Euclidean spaces to functions on compact sets of probability measures.
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