diff --git a/UnitySDK/Assets/ML-Agents/Scripts/Academy.cs b/UnitySDK/Assets/ML-Agents/Scripts/Academy.cs
index d6cecb4acf..ae66f328cf 100755
--- a/UnitySDK/Assets/ML-Agents/Scripts/Academy.cs
+++ b/UnitySDK/Assets/ML-Agents/Scripts/Academy.cs
@@ -95,7 +95,7 @@ public abstract class Academy : MonoBehaviour
         [SerializeField]
         public BroadcastHub broadcastHub = new BroadcastHub();
 
-        private const string kApiVersion = "API-8";
+        private const string kApiVersion = "API-9";
 
         /// Temporary storage for global gravity value
         /// Used to restore oringal value when deriving Academy modifies it
diff --git a/gym-unity/setup.py b/gym-unity/setup.py
index 92a6bbdc4d..f5ccf499c3 100755
--- a/gym-unity/setup.py
+++ b/gym-unity/setup.py
@@ -4,12 +4,12 @@
 
 setup(
     name="gym_unity",
-    version="0.4.2",
+    version="0.4.3",
     description="Unity Machine Learning Agents Gym Interface",
     license="Apache License 2.0",
     author="Unity Technologies",
     author_email="ML-Agents@unity3d.com",
     url="https://github.com/Unity-Technologies/ml-agents",
     packages=find_packages(),
-    install_requires=["gym", "mlagents_envs==0.8.2"],
+    install_requires=["gym", "mlagents_envs==0.9.0"],
 )
diff --git a/ml-agents-envs/mlagents/envs/environment.py b/ml-agents-envs/mlagents/envs/environment.py
index e09b7ee9bd..b6acf890cd 100644
--- a/ml-agents-envs/mlagents/envs/environment.py
+++ b/ml-agents-envs/mlagents/envs/environment.py
@@ -69,7 +69,7 @@ def __init__(
         atexit.register(self._close)
         self.port = base_port + worker_id
         self._buffer_size = 12000
-        self._version_ = "API-8"
+        self._version_ = "API-9"
         self._loaded = (
             False
         )  # If true, this means the environment was successfully loaded
diff --git a/ml-agents-envs/mlagents/envs/mock_communicator.py b/ml-agents-envs/mlagents/envs/mock_communicator.py
index 8a7e47bacd..da0cdf7b53 100755
--- a/ml-agents-envs/mlagents/envs/mock_communicator.py
+++ b/ml-agents-envs/mlagents/envs/mock_communicator.py
@@ -54,7 +54,7 @@ def initialize(self, inputs: UnityInput) -> UnityOutput:
             is_training=True,
         )
         rl_init = UnityRLInitializationOutput(
-            name="RealFakeAcademy", version="API-8", log_path="", brain_parameters=[bp]
+            name="RealFakeAcademy", version="API-9", log_path="", brain_parameters=[bp]
         )
         return UnityOutput(rl_initialization_output=rl_init)
 
diff --git a/ml-agents-envs/setup.py b/ml-agents-envs/setup.py
index 7e7fd49864..6edacf1721 100644
--- a/ml-agents-envs/setup.py
+++ b/ml-agents-envs/setup.py
@@ -5,7 +5,7 @@
 
 setup(
     name="mlagents_envs",
-    version="0.8.2",
+    version="0.9.0",
     description="Unity Machine Learning Agents Interface",
     url="https://github.com/Unity-Technologies/ml-agents",
     author="Unity Technologies",
diff --git a/ml-agents/setup.py b/ml-agents/setup.py
index 355caa3f2a..c7486140ef 100644
--- a/ml-agents/setup.py
+++ b/ml-agents/setup.py
@@ -10,7 +10,7 @@
 
 setup(
     name="mlagents",
-    version="0.8.2",
+    version="0.9.0",
     description="Unity Machine Learning Agents",
     long_description=long_description,
     long_description_content_type="text/markdown",
@@ -29,7 +29,7 @@
     ),
     zip_safe=False,
     install_requires=[
-        "mlagents_envs==0.8.2",
+        "mlagents_envs==0.9.0",
         "tensorflow>=1.7,<1.8",
         "Pillow>=4.2.1",
         "matplotlib",