What is evaluation in reinforcement learning using policy gradients?

It evaluates policies based on expected cumulative reward.

Policy gradient methods optimize expected reward directly. Evaluation involves running episodes under the policy and computing discounted returns. Challenges include high variance, credit assignment, and environment stochasticity. Baseline subtraction is often used to reduce variance.