Changed default max steps and training timeout to reflect round 2 limits

train.py

@@ -16,13 +16,13 @@
 # All the evaluations will be evaluated on MineRLObtainDiamond-v0 environment
 MINERL_GYM_ENV = os.getenv('MINERL_GYM_ENV', 'MineRLObtainDiamond-v0')
 # You need to ensure that your submission is trained in under MINERL_TRAINING_MAX_STEPS steps
-MINERL_TRAINING_MAX_STEPS = int(os.getenv('MINERL_TRAINING_MAX_STEPS', 5000))
+MINERL_TRAINING_MAX_STEPS = int(os.getenv('MINERL_TRAINING_MAX_STEPS', 8000000))
 # You need to ensure that your submission is trained by launching less than MINERL_TRAINING_MAX_INSTANCES instances
 MINERL_TRAINING_MAX_INSTANCES = int(os.getenv('MINERL_TRAINING_MAX_INSTANCES', 5))
 # You need to ensure that your submission is trained within allowed training time.
 # Round 1: Training timeout is 15 minutes
 # Round 2: Training timeout is 4 days
-MINERL_TRAINING_TIMEOUT = int(os.getenv('MINERL_TRAINING_TIMEOUT_MINUTES', 15))
+MINERL_TRAINING_TIMEOUT = int(os.getenv('MINERL_TRAINING_TIMEOUT_MINUTES', 4*24*60))
 # The dataset is available in data/ directory from repository root.
 MINERL_DATA_ROOT = os.getenv('MINERL_DATA_ROOT', 'data/')