 # Let's make the agent play the game!

• This section is to make you get friend;y with the basic working of the environment.

• In the previous section, we reset the game and we were returned the `obs` with 4 values:

• First value `-0.01258566` is the position of the cart.

• Second value `-0.00156614` is the velocity of the cart.

• Third value `0.04207708` is the angle of the pole.

• Fourth value `-0.00180545` is the angular velocity of the pole.

• We observe that the angle(third value above) is `0.04207708` which is positive(`0.04207708>0`), which means the pole is slanting towards the right.

• Thus the agent needs to move the cart toward the right. Thus the action for the next step should be `1`.

• We are going to code the same below.

INSTRUCTIONS

Prefer to write the following code snippets all in a single code-cell, so that the same could be executed continuously for you to play with it.

• If angle>0, action should be 1. Else if angle<0, action is 0. Initially, since the angle of the pole is positive(slanting towards the right), the action should be 1:

``````action=1
``````
• Perform a step and get the return values:

``````obs, reward, done, info = env.step(action)
``````
• Print `obs`.

``````print(obs)
``````

Now, observe the angle value(3rd value of `obs`) and change the value of `action` to `0` or `1` accordingly. If angle>0, action should be 1. Else if angle<0, action is 0. Play the game and observe the game.

• We can also print the `reward`, `done`, and `info` in a separate code cell to see how they look like:

``````print(reward)
print(done)
print(info)
``````

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