code: def learn(self, obs, action, reward, next_obs, terminal):
      terminal = np.expand_dims(terminal, -1)
      reward = np.expand_dims(reward, -1)
  
      obs = paddle.to_tensor(obs, dtype="float32")
      action = paddle.to_tensor(action, dtype="float32")
      reward = paddle.to_tensor(reward, dtype="float32")
      next_obs = paddle.to_tensor(next_obs, dtype="float32")
      terminal = paddle.to_tensor(terminal, dtype="float32")
      critic_loss, actor_loss = self.alg.learn(
          obs, action, reward, next_obs, terminal
      )
      return critic_loss, actor_loss
  
file_path: PARL/examples/OAC/mujoco_agent.py
imports: import parl
  import paddle
  import numpy
label_desc: Use image node_id 4 for calling the MujocoAgent obj's underlying member method code with example usage: obj.learn(obs, action, reward, next_obs, terminal) and returns: critic_loss,  actor_loss