code: def predict(self, obs):
      act_mean, _ = self.model.policy(obs)
      action = paddle.tanh(act_mean)
      return action
  
file_path: PARL/parl/algorithms/paddle/oac.py
imports: import parl
  import paddle
  from paddle.distribution import Normal
  import paddle.nn.functional
  from parl.utils.utils import check_model_method
  from copy import deepcopy
  import math
label_desc: Use image node_id 2 for calling the OAC obj's underlying member method code with example usage: obj.predict(obs) and returns: action