Importance Sampling, Reinforcement Learning and Getting More From The Data You Have

This post discusses a new paper on the application of importance sampling in trading strategies within electronic execution. The author reflects on their own learning journey regarding sampling methods, particularly Monte Carlo sampling, and highlights the practical implications of importance sampling for data utilization in reinforcement learning contexts.