code: def sample(self, obs):
      action_numpy = self.predict(obs)
      action_noise = np.random.normal(
          0, self.expl_noise, size=self.act_dim
      )
      action = (action_numpy + action_noise).clip(-1, 1)
      return action
  
file_path: PARL/examples/DDPG/mujoco_agent.py
imports: import parl
  import paddle
  import numpy
label_desc: Use image node_id 2 for calling the MujocoAgent obj's underlying member method code with example usage: obj.sample(obs) and returns: action