Removing initial eval which is messing up results

safe_control_gym/controllers/ppo/ppo.py

@@ -160,15 +160,6 @@ def learn(self,
               **kwargs
               ):
         """Performs learning (pre-training, training, fine-tuning, etc.)."""
-
-        # Initial Evaluation.
-        eval_results = self.run(env=self.eval_env, n_episodes=self.eval_batch_size)
-        self.logger.info('Eval | ep_lengths {:.2f} +/- {:.2f} | ep_return {:.3f} +/- {:.3f}'.format(
-            eval_results['ep_lengths'].mean(),
-            eval_results['ep_lengths'].std(),
-            eval_results['ep_returns'].mean(),
-            eval_results['ep_returns'].std()))
-
         if self.num_checkpoints > 0:
             step_interval = np.linspace(0, self.max_env_steps, self.num_checkpoints)
             interval_save = np.zeros_like(step_interval, dtype=bool)