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
'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?