Python Reinforcement Learning Projects

CartPole

At each step of the cart and pole, several variables can be observed, such as the position, velocity, angle, and angular velocity. The possible state_values of the cart are moved right and left:

1. state_values: Four dimensions of continuous values.
2. Actions: Two discrete values.
3. The dimensions, or space, can be referred to as the state_value space and the action space. Let's start by importing the required libraries, as follows:

import gymimport numpy as npimport randomimport math

4. Next, make the environment for playing CartPole, as follows:

environment = gym.make('CartPole-v0')

5. Next, define the number of buckets and the number of actions, as follows:

no_buckets = (1, 1, 6, 3)no_actions = environment.action_space.n

6. Next, define ...