docstr: Define the sampling process. This function returns an action with noise to perform exploration.
          
docstr_tok: ["Define","the","sampling","process",".","This","function","returns","an","action","with","noise","to","perform","exploration","."]
code: def sample(self, obs):
      """Define the sampling process. This function returns an action with noise to perform exploration."""
      act_mean, act_log_std = self.model.policy(obs)
      normal = Normal(act_mean, act_log_std.exp())
      # for reparameterization trick  (mean + std * N(0, 1))
      x_t = normal.sample([1])
      action = paddle.tanh(x_t)
      log_prob = normal.log_prob(x_t)
      # Enforcing Action Bound
      log_prob -= paddle.log((1 - action.pow(2)) + 1e-6)
      log_prob = paddle.sum(log_prob, axis=-1, keepdim=True)
      return action[0], log_prob[0]
  
file_path: PARL/parl/algorithms/paddle/cql.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 numpy
label_desc: Use image node_id 3 for calling the CQL obj's underlying member method code with example usage: obj.sample(obs) and returns: action,  log_prob