code: def sample(self, obs):
      action = np.random.normal(
          self.predict(np.array(obs)), self.expl_noise
      ).clip(-1, 1)
      return action
  
file_path: PARL/benchmark/torch/td3/mujoco_agent.py
imports: import parl
  import torch
  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