Understanding Reinforcement Learning with Neural Networks Part 2: Why Backpropagation Is Not Enough

This article, part of a series, explains why standard backpropagation is insufficient for certain reinforcement learning scenarios. It highlights the necessity of policy gradients by demonstrating how error calculation and derivative application differ from traditional neural network training.