Paper Proposes Multi-Level Market Making Using Reinforcement Learning
chaumian · x · 2026-08-20
The paper 'Multi-Level Market Making with Reinforcement Learning' introduces a framework for market making in limit order books. The algorithm maximizes revenue by dynamically submitting orders across multiple price levels while controlling inventory. It models allocations using multivariate logistic-normal distributions and aggregates features with a deep-set encoder. Performance is illustrated in simulated markets with noise, tactical, and strategic traders.
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