()
return contrib_training.HParams(
      random_action_probability=0.1,
      store_every_nth=1,
      train_every_nth=5,
      minibatch_size=32,
      discount_rate=0.95,
      max_experience=100000,
      target_network_update_rate=0.01)
Generates the default hparams for RLTuner DQN model.
Generates the default hparams for RLTuner DQN model.
Generates the default hparams for RLTuner DQN model .
def default_dqn_hparams():
  """Generates the default hparams for RLTuner DQN model."""
  return contrib_training.HParams(
      random_action_probability=0.1,
      store_every_nth=1,
      train_every_nth=5,
      minibatch_size=32,
      discount_rate=0.95,
      max_experience=100000,
      target_network_update_rate=0.01)
def default_dqn_hparams ( ) : return contrib_training . HParams ( random_action_probability = 0.1 , store_every_nth = 1 , train_every_nth = 5 , minibatch_size = 32 , discount_rate = 0.95 , max_experience = 100000 , target_network_update_rate = 0.01 )