I try to use Stable Baseliens train a PPO2 with MlpPolicy. After 100k timesteps, I can only get 1 and -1 in action. I restrict action space to [-1, 1] and directly use action as control. I don't know if it is because I directly use action as control?
MlpPolicy only return 1 and -1 with action spece[-1,1]
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This could be the result of the gauß distribution PPO2 is using. You could use a different algorithm that doesn't use gauß or use PPO with another distribution.
Checkout the example here: https://github.com/hill-a/stable-baselines/issues/112 And this paper: https://www.ri.cmu.edu/wp-content/uploads/2017/06/thesis-Chou.pdf