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I'm trying to replicate the DeepMind DQN paper, and actually I'm using the OpenAI-Gym enviroment. I'm trying to get a decent score with Space Invaders (using SpaceInvaders-v4 enviroment). I checked the number of actions available with env.unwrapped.get_action_meanings() and I get this:

['NOOP', 'FIRE', 'RIGHT', 'LEFT', 'RIGHTFIRE', 'LEFTFIRE']

Checking the number of actions with env.action_space.n gives me a number of 6 actions. The 'RIGHTFIRE' and 'LEFTFIRE' actions I suppose isn't used, am I right? If so, restricting the action size to the 4 first actions would improve my learning?

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  • $\begingroup$ It would learn faster since there are less actions to explore, but how did you conclude that RIGHTFIRE and LEFTFIRE actions aren't used ? $\endgroup$ – Brale_ Mar 13 at 22:06
  • $\begingroup$ @Brale_ I tried and they do the same as LEFT and RIGHT. If I'm wrong please someone tell me. $\endgroup$ – JCP Mar 13 at 22:52
  • $\begingroup$ Did you mean SpaceInvaders-v0? $\endgroup$ – Philip Raeisghasem Mar 14 at 2:32
  • $\begingroup$ @PhilipRaeisghasem No, SpaceInvaders-v4. It's basically the same as v0 but improved. $\endgroup$ – JCP Mar 14 at 2:49
  • $\begingroup$ Could you provide a link? I can't seem to find it $\endgroup$ – Philip Raeisghasem Mar 14 at 2:50
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Ok, I found that you shouldn't eliminate those actions cause RIGHTFIRE and LEFTFIRE do RIGHT + FIRE and LEFT + FIRE. So they are different actions. I post this just for clarify in case someone face the same doubt.

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