remove commented code

ml-agents/mlagents/trainers/policy/torch_policy.py

         )  # could be much simpler if TorchPolicy is nn.Module
         self.grads = None
 
-        # reward_signal_configs = trainer_settings.reward_signals
-        # reward_signal_names = [key.value for key, _ in reward_signal_configs.items()]
-
-        ac_class = SimpleActor
-        # if separate_critic:
-        #    ac_class = SimpleActor
-        # else:
-        #    ac_class = SharedActorCritic
-        self.actor = ac_class(
+        self.actor = SimpleActor(
             observation_specs=self.behavior_spec.observation_specs,
             network_settings=trainer_settings.network_settings,
             action_spec=behavior_spec.action_spec,