# What do the different actions of the OpenAI gym's environment of 'Pong-v0' represent? [closed]

Printing action_space for Pong-v0 gives Discrete(6) as output, i.e. $$0, 1, 2, 3, 4, 5$$ are actions defined in the environment as per the documentation. However, the game needs only 2 controls. Why do we have this discrepancy? Further, is that necessary to identify which number from 0 to 5 corresponds to which action in a gym environment?

• Programming questions (including how to use a certain library or API) are off-topic here. This type of question is more appropriate for Stack Overflow, even though the question is still related to Artificial Intelligence/Reinforcement Learning. Here, we focus on the theoretical, social, and philosophical aspects of AI. Please, see ai.stackexchange.com/help/on-topic for more details. – nbro Nov 25 '20 at 11:05

You can try the actions yourselves, but if you want another reference, check out the documentation for ALE at GitHub.

In particular, 0 means no action, 1 means fire, which is why they don't have an effect on the racket.

Here's a better way:

env.unwrapped.get_action_meanings()


You can try to figure out what exactly does an action do using such script:

action = 0  # modify this!
o = env.reset()
for i in xrange(5): # repeat one action for five times
o = env.step(action)[0]
IPython.display.display(
Image.fromarray(
).resize((300, 300))  # bigger image, easy for visualization
)


action 0 and 1 seems useless, as nothing happens to the racket.

action 2 & 4 makes the racket go up, and action 3 & 5 makes the racket go down.

The interesting part is, when I run the script above for the same action(from 2 to 5) two times, I have different results. Sometimes the racket reaches the top(bottom) border, and sometimes it doesn't. I think there might be some randomness on the speed of the racket, so it might be hard to measure which type of UP(2 or 4) is faster.

There seems to be no difference between 2 & 4 and 3 & 5. The inconsistency mentioned by Icyblade is due to the mechanics of the Pong environment.

"Each action is repeatedly performed for a duration of k frames, where k is uniformly sampled from {2,3,4}"

So the action is just repeated a different number of times due to randomness