Reinforcement Learning Part 12: The Policy Gradient

In the previous post, we introduced the breakthrough concept of combining deep learning and reinforcement learning (RL). Instead of recording estimated Q-values in a table, which is intractable for large or continuous state spaces, we approximated those Q-values using a neural network. This simple act spawned the current generation of deep RL, paving the way […]