In the realm of machine intelligence, imagine teaching a pianist to perform without ever giving sheet music. Instead, you reward the player whenever the melody sounds harmonious and adjust the feedback when it falters. Over time, the pianist internalises the rhythm, dynamics, and flow achieving mastery through experience. This is how reinforcement learning (RL) works, and the Deep Deterministic Policy Gradient (DDPG) algorithm takes this … Continue reading Deep Deterministic Policy Gradient: The Art of Continuous Decision-Making in Reinforcement Learning