Adding a logging utility for improved logs

ml-agents-envs/mlagents_envs/environment.py

 import signal
 import struct
 
-logging.basicConfig(level=logging.INFO)
+
 logger = logging.getLogger("mlagents_envs")
 
 

ml-agents/mlagents/trainers/learn.py

 from mlagents_envs.side_channel.side_channel import SideChannel
 from mlagents_envs.side_channel.engine_configuration_channel import EngineConfig
 from mlagents_envs.exception import UnityEnvironmentException
+from mlagents.logging_util import create_logger
 
 
 def _create_parser():
     except Exception:
         print("\n\n\tUnity Technologies\n")
     print(get_version_string())
-    trainer_logger = logging.getLogger("mlagents.trainers")
-    env_logger = logging.getLogger("mlagents_envs")
+    trainer_logger = create_logger("mlagents.trainers")
+    env_logger = create_logger("mlagents_envs")
 
     if options.debug:
         trainer_logger.setLevel("DEBUG")

ml-agents/mlagents/trainers/trainer/trainer.py

         )
         if stats_summary.num > 0:
             LOGGER.info(
-                " {}: {}: Step: {}. "
+                "{}: {}: Step: {}. "
                 "Time Elapsed: {:0.3f} s "
                 "Mean "
                 "Reward: {:0.3f}"