diff --git a/training/rl/pyproject.toml b/training/rl/pyproject.toml
index 8ff6193f..c08a9fbb 100644
--- a/training/rl/pyproject.toml
+++ b/training/rl/pyproject.toml
@@ -4,20 +4,21 @@ version = "0.1.0"
 description = "RL training workflow runtime dependencies"
 requires-python = ">=3.11,<3.12"
 dependencies = [
-    "numpy>=1.26.0,<3.0.0",
-    "azure-core==1.38.2",
-    "azure-storage-blob==12.28.0",
-    "azure-identity==1.25.2",
-    "azure-ai-ml==1.31.0",
+    "numpy>=1.26.0,<2.0.0",
+    "azure-core==1.38.3",
+    "azure-storage-blob>=12.10.0",
+    "azure-identity==1.25.3",
+    "azure-ai-ml==1.32.0",
     "marshmallow>=3.5,<4.3.0",
     "mlflow>=2.0.0,<4.0.0",
-    "packaging>=25,<26",
+    "packaging>=25,<27",
     "psutil>=5.9.0",
     "pynvml>=11.5.0",
     "pyperclip==1.11.0",
+    "cryptography>=46.0.0",
     "pyjwt>=2.12.1",
-    "azureml-mlflow==1.62.0",
-    "rsl-rl-lib==5.0.0",
+    "azureml-mlflow==1.62.0.post1",
+    "rsl-rl-lib==5.0.1",
     "skrl>=1.4.3",
     "tensordict>=0.7.0",
 ]
diff --git a/training/rl/requirements.txt b/training/rl/requirements.txt
index 8fe5c1aa..01c5294c 100644
--- a/training/rl/requirements.txt
+++ b/training/rl/requirements.txt
@@ -6,35 +6,24 @@ absl-py==2.4.0
 alembic==1.18.4
     # via mlflow
 annotated-doc==0.0.4
-    # via
-    #   fastapi
-    #   typer
+    # via fastapi
 annotated-types==0.7.0
     # via pydantic
 anyio==4.12.1
-    # via
-    #   httpx
-    #   mcp
-    #   sse-starlette
-    #   starlette
+    # via starlette
 asgiref==3.11.1
     # via opentelemetry-instrumentation-asgi
-async-timeout==5.0.1
-    # via redis
 attrs==25.4.0
     # via
-    #   cyclopts
     #   jsonschema
     #   referencing
-authlib==1.6.9
-    # via fastmcp
-azure-ai-ml==1.31.0
-    # via robotics-training (training/rl/pyproject.toml)
+azure-ai-ml==1.32.0
+    # via robotics-training-rl (training/rl/pyproject.toml)
 azure-common==1.1.28
     # via azure-ai-ml
-azure-core==1.38.2
+azure-core==1.38.3
     # via
-    #   robotics-training (training/rl/pyproject.toml)
+    #   robotics-training-rl (training/rl/pyproject.toml)
     #   azure-ai-ml
     #   azure-core-tracing-opentelemetry
     #   azure-identity
@@ -48,9 +37,9 @@ azure-core==1.38.2
     #   msrest
 azure-core-tracing-opentelemetry==1.0.0b12
     # via azure-monitor-opentelemetry
-azure-identity==1.25.2
+azure-identity==1.25.3
     # via
-    #   robotics-training (training/rl/pyproject.toml)
+    #   robotics-training-rl (training/rl/pyproject.toml)
     #   azure-monitor-opentelemetry-exporter
     #   azureml-mlflow
 azure-mgmt-core==1.6.0
@@ -61,104 +50,74 @@ azure-monitor-opentelemetry==1.8.6
     # via azure-ai-ml
 azure-monitor-opentelemetry-exporter==1.0.0b48
     # via azure-monitor-opentelemetry
-azure-storage-blob==12.28.0
+azure-storage-blob==12.27.1
     # via
-    #   robotics-training (training/rl/pyproject.toml)
+    #   robotics-training-rl (training/rl/pyproject.toml)
     #   azure-ai-ml
     #   azure-storage-file-datalake
     #   azureml-mlflow
-azure-storage-file-datalake==12.14.0
+azure-storage-file-datalake==12.22.0
     # via azure-ai-ml
 azure-storage-file-share==12.24.0
     # via azure-ai-ml
-azureml-mlflow==1.62.0
-    # via robotics-training (training/rl/pyproject.toml)
-backports-tarfile==1.2.0
-    # via jaraco-context
-beartype==0.22.9
-    # via
-    #   py-key-value-aio
-    #   py-key-value-shared
+azureml-mlflow==1.62.0.post1
+    # via robotics-training-rl (training/rl/pyproject.toml)
 blinker==1.9.0
     # via flask
 cachetools==6.2.6
     # via
     #   mlflow-skinny
     #   mlflow-tracing
-    #   py-key-value-aio
 certifi==2026.2.25
     # via
-    #   httpcore
-    #   httpx
     #   msrest
     #   requests
 cffi==2.0.0
     # via cryptography
-charset-normalizer==3.4.4
+charset-normalizer==3.4.6
     # via requests
 click==8.3.1
     # via
     #   flask
     #   mlflow-skinny
-    #   typer
     #   uvicorn
 cloudpickle==3.1.2
     # via
     #   gymnasium
     #   mlflow-skinny
-    #   pydocket
     #   tensordict
 colorama==0.4.6
-    # via
-    #   azure-ai-ml
-    #   click
-    #   tqdm
+    # via azure-ai-ml
 contourpy==1.3.3
     # via matplotlib
-croniter==6.0.0
-    # via pydocket
 cryptography==46.0.5
     # via
-    #   authlib
     #   azure-identity
     #   azure-storage-blob
     #   azure-storage-file-share
     #   azureml-mlflow
+    #   robotics-training-rl (training/rl/pyproject.toml)
     #   google-auth
     #   mlflow
     #   msal
     #   pyjwt
+cuda-bindings==12.9.4
+    # via torch
+cuda-pathfinder==1.4.3
+    # via cuda-bindings
 cycler==0.12.1
     # via matplotlib
-cyclopts==4.6.0
-    # via fastmcp
-databricks-sdk==0.96.0
+databricks-sdk==0.100.0
     # via
     #   mlflow-skinny
     #   mlflow-tracing
-diskcache==5.6.3
-    # via py-key-value-aio
-dnspython==2.8.0
-    # via email-validator
 docker==7.1.0
     # via mlflow
-docstring-parser==0.17.0
-    # via cyclopts
-docutils==0.22.4
-    # via rich-rst
-email-validator==2.3.0
-    # via pydantic
-exceptiongroup==1.3.1
-    # via fastmcp
-fakeredis==2.34.1
-    # via pydocket
 farama-notifications==0.0.4
     # via gymnasium
 fastapi==0.135.1
     # via mlflow-skinny
-fastmcp==2.14.5
-    # via mlflow
-filelock==3.25.0
+filelock==3.25.2
     # via torch
 flask==3.1.3
     # via
@@ -166,7 +125,7 @@ flask==3.1.3
     #   mlflow
 flask-cors==6.0.2
     # via mlflow
-fonttools==4.61.1
+fonttools==4.62.1
     # via matplotlib
 fsspec==2026.2.0
     # via torch
@@ -176,11 +135,11 @@ gitpython==3.1.46
     # via
     #   mlflow-skinny
     #   rsl-rl-lib
-google-auth==2.48.0
+google-auth==2.49.1
     # via databricks-sdk
 graphene==3.4.3
     # via mlflow
-graphql-core==3.2.7
+graphql-core==3.2.8
     # via
     #   graphene
     #   graphql-relay
@@ -190,29 +149,20 @@ greenlet==3.3.2
     # via sqlalchemy
 grpcio==1.78.0
     # via tensorboard
+gunicorn==23.0.0
+    # via mlflow
 gymnasium==1.2.3
     # via skrl
 h11==0.16.0
-    # via
-    #   httpcore
-    #   uvicorn
-httpcore==1.0.9
-    # via httpx
-httpx==0.28.1
-    # via
-    #   fastmcp
-    #   mcp
-httpx-sse==0.4.3
-    # via mcp
+    # via uvicorn
+huey==2.6.0
+    # via mlflow
 idna==3.11
     # via
     #   anyio
-    #   email-validator
-    #   httpx
     #   requests
 importlib-metadata==8.7.1
     # via
-    #   keyring
     #   mlflow-skinny
     #   opentelemetry-api
     #   tensordict
@@ -225,12 +175,6 @@ isodate==0.7.2
     #   msrest
 itsdangerous==2.2.0
     # via flask
-jaraco-classes==3.4.0
-    # via keyring
-jaraco-context==6.1.0
-    # via keyring
-jaraco-functools==4.4.0
-    # via keyring
 jinja2==3.1.6
     # via
     #   flask
@@ -239,28 +183,16 @@ joblib==1.5.3
     # via scikit-learn
 jsonpickle==4.1.1
     # via azureml-mlflow
-jsonref==1.1.0
-    # via fastmcp
 jsonschema==4.26.0
-    # via
-    #   azure-ai-ml
-    #   mcp
-jsonschema-path==0.4.5
-    # via fastmcp
+    # via azure-ai-ml
 jsonschema-specifications==2025.9.1
     # via jsonschema
-keyring==25.7.0
-    # via py-key-value-aio
-kiwisolver==1.4.9
+kiwisolver==1.5.0
     # via matplotlib
-lupa==2.6
-    # via fakeredis
 mako==1.3.10
     # via alembic
 markdown==3.10.2
     # via tensorboard
-markdown-it-py==4.0.0
-    # via rich
 markupsafe==3.0.3
     # via
     #   flask
@@ -269,34 +201,26 @@ markupsafe==3.0.3
     #   werkzeug
 marshmallow==3.26.2
     # via
-    #   robotics-training (training/rl/pyproject.toml)
+    #   robotics-training-rl (training/rl/pyproject.toml)
     #   azure-ai-ml
 matplotlib==3.10.8
     # via mlflow
-mcp==1.26.0
-    # via fastmcp
-mdurl==0.1.2
-    # via markdown-it-py
 ml-dtypes==0.5.4
     # via
     #   onnx
     #   onnx-ir
     #   onnxscript
-mlflow==3.8.0rc0
-    # via robotics-training (training/rl/pyproject.toml)
-mlflow-skinny==3.5.0
+mlflow==3.9.0
+    # via robotics-training-rl (training/rl/pyproject.toml)
+mlflow-skinny==3.9.0
     # via
     #   azureml-mlflow
     #   mlflow
-mlflow-tracing==3.5.0
+mlflow-tracing==3.9.0
     # via mlflow
-more-itertools==10.8.0
-    # via
-    #   jaraco-classes
-    #   jaraco-functools
 mpmath==1.3.0
     # via sympy
-msal==1.35.0
+msal==1.35.1
     # via
     #   azure-identity
     #   msal-extensions
@@ -308,9 +232,9 @@ msrest==0.7.1
     #   azureml-mlflow
 networkx==3.6.1
     # via torch
-numpy==1.26.4
+numpy==2.4.3
     # via
-    #   robotics-training (training/rl/pyproject.toml)
+    #   robotics-training-rl (training/rl/pyproject.toml)
     #   contourpy
     #   gymnasium
     #   matplotlib
@@ -323,11 +247,51 @@ numpy==1.26.4
     #   rsl-rl-lib
     #   scikit-learn
     #   scipy
+    #   skops
     #   tensorboard
     #   tensordict
     #   torchvision
+nvidia-cublas-cu12==12.8.4.1
+    # via
+    #   nvidia-cudnn-cu12
+    #   nvidia-cusolver-cu12
+    #   torch
+nvidia-cuda-cupti-cu12==12.8.90
+    # via torch
+nvidia-cuda-nvrtc-cu12==12.8.93
+    # via torch
+nvidia-cuda-runtime-cu12==12.8.90
+    # via torch
+nvidia-cudnn-cu12==9.10.2.21
+    # via torch
+nvidia-cufft-cu12==11.3.3.83
+    # via torch
+nvidia-cufile-cu12==1.13.1.3
+    # via torch
+nvidia-curand-cu12==10.3.9.90
+    # via torch
+nvidia-cusolver-cu12==11.7.3.90
+    # via torch
+nvidia-cusparse-cu12==12.5.8.93
+    # via
+    #   nvidia-cusolver-cu12
+    #   torch
+nvidia-cusparselt-cu12==0.7.1
+    # via torch
 nvidia-ml-py==13.590.48
     # via pynvml
+nvidia-nccl-cu12==2.27.5
+    # via torch
+nvidia-nvjitlink-cu12==12.8.93
+    # via
+    #   nvidia-cufft-cu12
+    #   nvidia-cusolver-cu12
+    #   nvidia-cusparse-cu12
+    #   torch
+nvidia-nvshmem-cu12==3.4.5
+    # via torch
+nvidia-nvtx-cu12==12.8.90
+    # via torch
 oauthlib==3.3.1
     # via requests-oauthlib
 onnx==1.20.1
@@ -339,8 +303,6 @@ onnx-ir==0.2.0
     # via onnxscript
 onnxscript==0.6.2
     # via rsl-rl-lib
-openapi-pydantic==0.5.1
-    # via fastmcp
 opentelemetry-api==1.39.0
     # via
     #   azure-core-tracing-opentelemetry
@@ -360,7 +322,6 @@ opentelemetry-api==1.39.0
     #   opentelemetry-instrumentation-wsgi
     #   opentelemetry-sdk
     #   opentelemetry-semantic-conventions
-    #   pydocket
 opentelemetry-instrumentation==0.60b0
     # via
     #   opentelemetry-instrumentation-asgi
@@ -435,8 +396,8 @@ orjson==3.11.7
     # via tensordict
 packaging==25.0
     # via
-    #   robotics-training (training/rl/pyproject.toml)
-    #   fastmcp
+    #   robotics-training-rl (training/rl/pyproject.toml)
+    #   gunicorn
     #   marshmallow
     #   matplotlib
     #   mlflow-skinny
@@ -444,25 +405,20 @@ packaging==25.0
     #   onnxscript
     #   opentelemetry-instrumentation
     #   opentelemetry-instrumentation-flask
+    #   skops
     #   skrl
     #   tensorboard
     #   tensordict
 pandas==2.3.3
     # via mlflow
-pathable==0.5.0
-    # via jsonschema-path
-pathvalidate==3.3.1
-    # via py-key-value-aio
 pillow==12.1.1
     # via
     #   matplotlib
     #   tensorboard
     #   torchvision
-platformdirs==4.9.2
-    # via fastmcp
-prometheus-client==0.24.1
-    # via pydocket
-protobuf==6.33.5
+prettytable==3.17.0
+    # via skops
+protobuf==6.33.6
     # via
     #   databricks-sdk
     #   mlflow-skinny
@@ -472,20 +428,12 @@ protobuf==6.33.5
     #   tensorboard
 psutil==7.2.2
     # via
-    #   robotics-training (training/rl/pyproject.toml)
+    #   robotics-training-rl (training/rl/pyproject.toml)
     #   azure-monitor-opentelemetry-exporter
-py-key-value-aio==0.3.0
-    # via
-    #   fastmcp
-    #   pydocket
-py-key-value-shared==0.3.0
-    # via py-key-value-aio
-pyarrow==21.0.0
+pyarrow==22.0.0
     # via mlflow
 pyasn1==0.6.3
-    # via
-    #   pyasn1-modules
-    #   rsa
+    # via pyasn1-modules
 pyasn1-modules==0.4.2
     # via google-auth
 pycparser==3.0
@@ -493,80 +441,45 @@ pycparser==3.0
 pydantic==2.12.5
     # via
     #   fastapi
-    #   fastmcp
-    #   mcp
     #   mlflow-skinny
     #   mlflow-tracing
-    #   openapi-pydantic
-    #   pydantic-settings
 pydantic-core==2.41.5
     # via pydantic
-pydantic-settings==2.13.1
-    # via mcp
 pydash==8.0.6
     # via azure-ai-ml
-pydocket==0.18.0
-    # via fastmcp
-pygments==2.19.2
-    # via rich
 pyjwt==2.12.1
     # via
+    #   robotics-training-rl (training/rl/pyproject.toml)
     #   azure-ai-ml
-    #   mcp
     #   msal
-    #   robotics-training-rl (training/rl/pyproject.toml)
 pynvml==13.0.1
-    # via robotics-training (training/rl/pyproject.toml)
+    # via robotics-training-rl (training/rl/pyproject.toml)
 pyparsing==3.3.2
     # via matplotlib
 pyperclip==1.11.0
-    # via
-    #   robotics-training (training/rl/pyproject.toml)
-    #   fastmcp
+    # via robotics-training-rl (training/rl/pyproject.toml)
 python-dateutil==2.9.0.post0
     # via
     #   azureml-mlflow
-    #   croniter
     #   graphene
     #   matplotlib
     #   pandas
     #   strictyaml
 python-dotenv==1.2.2
-    # via
-    #   fastmcp
-    #   mlflow-skinny
-    #   pydantic-settings
-python-json-logger==4.0.0
-    # via pydocket
-python-multipart==0.0.22
-    # via mcp
+    # via mlflow-skinny
 pytz==2025.2
     # via
     #   azureml-mlflow
-    #   croniter
     #   pandas
 pyvers==0.2.2
     # via tensordict
-pywin32==311
-    # via
-    #   docker
-    #   mcp
-pywin32-ctypes==0.2.3
-    # via keyring
 pyyaml==6.0.3
     # via
     #   azure-ai-ml
-    #   jsonschema-path
     #   mlflow-skinny
-redis==7.2.1
-    # via
-    #   fakeredis
-    #   py-key-value-aio
-    #   pydocket
 referencing==0.37.0
     # via
     #   jsonschema
-    #   jsonschema-path
     #   jsonschema-specifications
 requests==2.32.5
     # via
@@ -579,54 +492,39 @@ requests==2.32.5
     #   requests-oauthlib
 requests-oauthlib==2.0.0
     # via msrest
-rich==14.3.3
-    # via
-    #   cyclopts
-    #   fastmcp
-    #   pydocket
-    #   rich-rst
-    #   typer
-rich-rst==1.3.2
-    # via cyclopts
 rpds-py==0.30.0
     # via
     #   jsonschema
     #   referencing
-rsa==4.9.1
-    # via google-auth
-rsl-rl-lib==5.0.0
-    # via robotics-training (training/rl/pyproject.toml)
+rsl-rl-lib==5.0.1
+    # via robotics-training-rl (training/rl/pyproject.toml)
 scikit-learn==1.8.0
-    # via mlflow
+    # via
+    #   mlflow
+    #   skops
 scipy==1.17.1
     # via
     #   mlflow
     #   scikit-learn
-setuptools==82.0.0
+    #   skops
+setuptools==82.0.1
     # via tensorboard
-shellingham==1.5.4
-    # via typer
 six==1.17.0
     # via python-dateutil
+skops==0.13.0
+    # via mlflow
 skrl==1.4.3
-    # via robotics-training (training/rl/pyproject.toml)
-smmap==5.0.2
+    # via robotics-training-rl (training/rl/pyproject.toml)
+smmap==5.0.3
     # via gitdb
-sortedcontainers==2.4.0
-    # via fakeredis
 sqlalchemy==2.0.48
     # via
     #   alembic
     #   mlflow
 sqlparse==0.5.5
     # via mlflow-skinny
-sse-starlette==3.3.2
-    # via mcp
 starlette==0.52.1
-    # via
-    #   fastapi
-    #   mcp
-    #   sse-starlette
+    # via fastapi
 strictyaml==1.7.3
     # via azure-ai-ml
 sympy==1.14.0
@@ -639,7 +537,7 @@ tensorboard-data-server==0.7.2
     # via tensorboard
 tensordict==0.11.0
     # via
-    #   robotics-training (training/rl/pyproject.toml)
+    #   robotics-training-rl (training/rl/pyproject.toml)
     #   rsl-rl-lib
 threadpoolctl==3.6.0
     # via scikit-learn
@@ -654,8 +552,8 @@ tqdm==4.67.3
     # via
     #   azure-ai-ml
     #   skrl
-typer==0.24.1
-    # via pydocket
+triton==3.6.0
+    # via torch
 typing-extensions==4.15.0
     # via
     #   alembic
@@ -666,12 +564,10 @@ typing-extensions==4.15.0
     #   azure-storage-blob
     #   azure-storage-file-datalake
     #   azure-storage-file-share
-    #   exceptiongroup
     #   fastapi
     #   graphene
     #   grpcio
     #   gymnasium
-    #   mcp
     #   mlflow-skinny
     #   onnx
     #   onnx-ir
@@ -679,11 +575,9 @@ typing-extensions==4.15.0
     #   opentelemetry-api
     #   opentelemetry-sdk
     #   opentelemetry-semantic-conventions
-    #   py-key-value-shared
     #   pydantic
     #   pydantic-core
     #   pydash
-    #   pydocket
     #   referencing
     #   sqlalchemy
     #   starlette
@@ -692,28 +586,17 @@ typing-extensions==4.15.0
 typing-inspection==0.4.2
     # via
     #   fastapi
-    #   mcp
     #   pydantic
-    #   pydantic-settings
 tzdata==2025.3
-    # via
-    #   pandas
-    #   pydocket
-uncalled-for==0.2.0
-    # via pydocket
+    # via pandas
 urllib3==2.6.3
     # via
     #   docker
     #   requests
-uvicorn==0.41.0
-    # via
-    #   fastmcp
-    #   mcp
-    #   mlflow-skinny
-waitress==3.0.2
-    # via mlflow
-websockets==16.0
-    # via fastmcp
+uvicorn==0.42.0
+    # via mlflow-skinny
+wcwidth==0.6.0
+    # via prettytable
 werkzeug==3.1.6
     # via
     #   flask