Definition
A class of reinforcement learning algorithms that directly optimize the agent's policy (its behavior strategy) by calculating and following the gradient of the expected reward.
In short: A class of reinforcement learning algorithms that directly optimize the agent's policy (its behavior strategy) by calculating and following the gradient of the expected reward.