Hands-On Intelligent Agents with OpenAI Gym

Policy gradients

In policy gradientbased methods, the policy is represented, for example, by using a neural network with parameters , and the goal is to find the best set of parameters . This can be intuitively seen as an optimization problem where we are trying to optimize the objective of the policy to find the best-performing policy. What is the objective of the agent's policy ? We know that the agent should achieve maximum rewards in the long term, in order to complete the task or achieve the goal. If we can formulate that objective mathematically, ...