how did you define your action space?

[OsgoodWu]

After I read your code carefully, I cannot figure out how you define your action space. For example , how many actions you define and how to represent each action? Waiting for your answers.

Sincerely

[danielkaifeng]

I am also waiting for answers on this.
In deep Q learning, the target Qt is calculate as target_q_t = (1. - terminal) * self.discount_r * max_q_t_plus_1 + reward, which means the action space is one dimension? If it is two dimension or above, numpy matric can't conduct multiply and add method as this in the code.