class_docstr: Rescales the reward by a given factor. Rescaling the rewards of the environment has been
  observed to have a large effect (negative or positive) on the behavior of the learning process.
code: def get_filtered_reward_space(
      self, input_reward_space: RewardSpace
  ) -> RewardSpace:
      input_reward_space.high = (
          input_reward_space.high * self.rescale_factor
      )
      input_reward_space.low = (
          input_reward_space.low * self.rescale_factor
      )
      return input_reward_space
  
file_path: coach/rl_coach/filters/reward/reward_rescale_filter.py
imports: from rl_coach.core_types import RewardType
  from rl_coach.filters.reward.reward_filter import RewardFilter
  from rl_coach.spaces import RewardSpace
label_desc: Use image node_id 3 for calling the RewardRescaleFilter obj's underlying member method code with example usage: obj.get_filtered_reward_space(input_reward_space) and returns: input_reward_space