1028 I have mostly read that section. Most of it was a recap that reinforcement learning uses a policy to prioritise actions based on observation information of an environment.
Policy-based methods are described as training a policy directly. Value-based methods are described as breaking the environment into distinguishable states, learning the value of the states, and selecting actions that move toward them. The next section is "The two types of value-based methods" at https://huggingface.co/blog/deep-rl-q-part1#the-two-types-of-value-based-methods .
