Concentrated Liquidity Provision: a Reinforcement Learning Perspective

By Georgios Chionas, Charalampos Kleitsikas, Stefanos Leonardos, Leandro Sánchez-Betancourt, Carmine Ventre

Published 2026-08-19

Everscope rating

1453.3

Relevance to quantitative trading

9 / 10

Implementation complexity

8 / 10

Reproducibility

3 / 5

About this paper

Methodology: Proximal Policy Optimization (PPO) for Stochastic Impulse Control. Problem types: Reinforcement Learning, Market Making, Portfolio Optimization, Risk Management, Optimization.

arXiv:2608.19389 · Paper rankings

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