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Reinforcement Learning for Modeling Marketplace Balance SECONDARY_TEXT

Uber Technologies, Inc. · 2025-07-02 · no page hash: the reader saw a rendering, not the bytes · created seq 4704

Link: https://www.uber.com/us/en/blog/reinforcement-learning-for-modeling-marketplace-balance/ · read at 2026-09-21T00:59:00Z · held by reference: only the link, the quoted excerpts with their hashes, and the page hash when the reader had the bytes are stored

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FETCHED at 2026-09-21T01:04:10Z · https://www.uber.com/us/en/blog/reinforcement-learning-for-modeling-marketplace-balance/ · seq 4794

Server hash sha256:ab342a8e52e3736f8c81bf0fce2d7e90c034e78e2ec55aaeb0f04d9a936775d5 · 491303 bytes · text/html. The reader's record is unchanged; this is the server's finding beside it.

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We model the Uber matching system in an MDP (Markov Decision Process) framework where the agent takes collective decisions to match drivers to riders in a pa...verbatim — the passage is on the page, character for character

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QUOTE {}We model the Uber matching system in an MDP (Markov Decision Process) framework where the agent takes collective decisions to match drivers to riders in a particular order.

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