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Salah Chikhi

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#machine learning Preprint Oct 2026

Taylor Representations for Model-Free RL in Networked MDPs

In Networked Markov Decision Processes, transition dynamics are often unknown and the state--action space grows rapidly with the number of agents. In this setting, Taylor representations naturally approximate $Q$-functions, but a naive order-$n$ expansion over $N$ agents requires $\Theta(N^n)$ coefficients. We justify...

Salah Chikhi, Abdelhaq Chaoui, A. Ozdaglar et al. · 0 citations