Policy Gradients — Deep Dive + Problem: Valid Parentheses

Policy Gradients is a fundamental Reinforcement Learning algorithm that directly optimizes the policy, mapping states to actions, using gradient-based methods. It's crucial for handling high-dimensional action spaces and learning stochastic policies, offering advantages over value-based methods by learning the policy directly.