Abstract
We propose to conduct an analysis on existing financial strategies for market-making, as well as the potential use of Reinforcement Learning (RL) techniques for maximizing the expected return of such strategies. Recent literary advances that use the approach of RL methods for the optimization of financial agents focus on the search for policies that maximize daily return and minimize the …