Policy Parameterization Softmax And Gaussian Policies

# Policy Parameterization: Softmax And Gaussian Policies Imagine training a robot to navigate a complex maze. It needs to learn the best actions to take at each step to reach the goal. This is where Reinforcement Learning (RL) comes in, and at its heart lies the *policy* – the robot’s brain that dictates its actions. But how do we represent this policy? That's where policy parameterization steps in, allowing us to represent the policy with a set of parameters that we can optimize using techniqu