Search Results for author:
Found 1 papers, 0 papers with code
QLAMMP: A Q-Learning Agent for Optimizing Fees on Automated Market Making Protocols
In particular, we develop a Q-Learning Agent for Market Making Protocols (QLAMMP) that learns the optimal fee rates and leverage coefficients for a given AMM protocol and maximizes the expected fee collected under a range of different market conditions.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
