Merge experiments

config/sac/CrawlerStatic.yaml

         gamma: 0.995
         strength: 1.0
     keep_checkpoints: 5
-    max_steps: 3000000
+    max_steps: 100000
-    threaded: true
+    threaded: false

ml-agents/mlagents/torch_utils/torch.py

     # Everywhere else is caught by the banned-modules setting for flake8
     import torch  # noqa I201
 
-    torch.set_num_interop_threads(2)
-    os.environ["KMP_AFFINITY"] = "granularity=fine,compact,1,0"
-    os.environ["KMP_BLOCKTIME"] = "0"
+    if "TORCH_NUM_THREADS" in os.environ:
+        torch.set_num_threads(int(os.environ.get("TORCH_NUM_THREADS")))
+
+    if "TORCH_NUM_INTEROP" in os.environ:
+        torch.set_num_interop_threads(int(os.environ.get("TORCH_NUM_INTEROP")))
+    # torch.set_num_interop_threads(4)
+    # os.environ["KMP_AFFINITY"] = "granularity=fine,compact,1,0"
+    # os.environ["KMP_BLOCKTIME"] = "1"
 
     # Known PyLint compatibility with PyTorch https://github.com/pytorch/pytorch/issues/701
     # pylint: disable=E1101

ml-agents/mlagents/trainers/learn.py

 import json
 import cProfile
 
+from mlagents_envs.registry import default_registry
+
 from typing import Callable, Optional, List
 
 import mlagents.trainers
     ) -> UnityEnvironment:
         # Make sure that each environment gets a different seed
         env_seed = seed + worker_id
-        return UnityEnvironment(
-            file_name=env_path,
+        return default_registry["CrawlerStaticTarget"].make(
             worker_id=worker_id,
             seed=env_seed,
             no_graphics=no_graphics,