Adaptive Dueling Double Deep Q-networks in Uniswap V3: Replication and Extension with Mamba

By Zhaofeng Zhang

Published 2025-11-27

Everscope rating

1270.3

Relevance to quantitative trading

8 / 10

Implementation complexity

7 / 10

Reproducibility

2 / 5

About this paper

Methodology: Mamba-DDQN (Mamba-enhanced Dueling Double Deep Q-Network). Problem types: Reinforcement Learning, Market Making, Portfolio Optimization, Risk Management, Optimization.

arXiv:2511.22101 · Paper rankings

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