import numpy as np from gym.spaces import Discrete, Box, Tuple, MultiDiscrete from .base import Base_Action class Rule_Dynamic(Base_Action): """ """ def get_space(self): """ """ return Box(0, np.inf, shape=(), dtype=np.float32) def get_action(self, action, target, position, max_step_num, t, **kargs): """ :param action: param target: :param position: param max_step_num: :param t: param **kargs: :param target: :param max_step_num: :param **kargs: """ return position / (max_step_num - (t + 1)) * action class Rule_Static(Base_Action): """ """ def get_space(self): """ """ return Box(0, np.inf, shape=(), dtype=np.float32) def get_action(self, action, target, position, max_step_num, t, **kargs): """ :param action: param target: :param position: param max_step_num: :param t: param **kargs: :param target: :param max_step_num: :param **kargs: """ return target / max_step_num * action