Deep Reinforcement Learning for Online Optimal Execution Strategies

Alessandro Micheli, Mélodie Monod

This paper tackles the challenge of learning non-Markovian optimal execution strategies in dynamic financial markets. We introduce a novel actor-critic algorithm based on Deep Dete…