Policy Gradient Methods

# Policy Gradient Methods: A Comprehensive Guide to Reinforcement Learning Policy Gradient Methods are a cornerstone of Reinforcement Learning (RL), offering a powerful approach to training agents that can make optimal decisions in complex environments. Unlike value-based methods that focus on estimating the value of states or actions, policy gradient methods directly optimize the agent's policy, allowing for more nuanced and efficient learning, especially in high-dimensional or continuous ac