rai-opensource · awoll-bdai · Apr 9, 2026 · Apr 9, 2026 · Apr 9, 2026
@@ -8,4 +8,4 @@ authors:
 title: "Exploy: EXport and dePLOY Reinforcement Learning policies"
 date-released: 2026-03-11
 version: 0.1.0
-url: "https://github.com/bdaiinstitute/exploy"
+url: "https://github.com/rai-opensource/exploy"
@@ -55,17 +55,17 @@ exploy/
 
 ## Documentation
 
-Exploy's documentation is available at [bdaiinstitute.github.io/exploy][docs].
+Exploy's documentation is available at [rai-opensource.github.io/exploy][docs].
 To get started with the core concepts, refer to our step-by-step guides:
 
 - [**Exporter**][tutorial_exporter]:
   Learn to export an RL environment and policy to a self-contained ONNX file using  `exploy.exporter.core`.
 - [**Controller**][tutorial_controller]:
   Learn to deploy a trained policy on a robot using the C++ controller with ONNX Runtime integration.
 
-[docs]: https://bdaiinstitute.github.io/exploy
-[tutorial_exporter]: https://bdaiinstitute.github.io/exploy/tutorial/exporter/exporter_tutorial.html
-[tutorial_controller]: https://bdaiinstitute.github.io/exploy/tutorial/controller/controller_tutorial.html
+[docs]: https://rai-opensource.github.io/exploy
+[tutorial_exporter]: https://rai-opensource.github.io/exploy/tutorial/exporter/exporter_tutorial.html
+[tutorial_controller]: https://rai-opensource.github.io/exploy/tutorial/controller/controller_tutorial.html
 
 ## Installation and Usage
 
@@ -75,21 +75,21 @@ To consume the Python package in your own project,
 the recommended approach is to install it directly from the git repository using `pip`:
 
 ```bash
-pip install git+https://github.com/bdaiinstitute/exploy.git
+pip install git+https://github.com/rai-opensource/exploy.git
 ```
 
 To install with additional dependencies for `IsaacLab` integration:
 
 ```bash
-pip install "exploy[isaaclab]@git+https://github.com/bdaiinstitute/exploy.git"
+pip install "exploy[isaaclab]@git+https://github.com/rai-opensource/exploy.git"
 ```
 
 ### C++ Controller Library
 
 To consume the C++ controller library, use plain CMake commands to build and install it on your system (or to a custom prefix):
 
 ```bash
-git clone https://github.com/bdaiinstitute/exploy.git
+git clone https://github.com/rai-opensource/exploy.git
 cd exploy
 cmake -S control/ -B build/ -DCMAKE_INSTALL_PREFIX=/path/to/install
 cmake --build build/ --parallel
@@ -159,7 +159,7 @@ See the [Pixi installation guide][pixi_setup] for initial setup instructions.
 #### 1. Clone the repository
 
 ```bash
-git clone https://github.com/bdaiinstitute/exploy.git
+git clone https://github.com/rai-opensource/exploy.git
 cd exploy
 ```
 
@@ -293,6 +293,6 @@ button in the sidebar, or using the following BibTeX entry:
   title = {Exploy: EXport and dePLOY Reinforcement Learning policies},
   month = {March},
   year = {2026},
-  url = {https://github.com/bdaiinstitute/exploy}
+  url = {https://github.com/rai-opensource/exploy}
 }
 ```
@@ -72,7 +72,7 @@
     "footer_icons": [
         {
             "name": "GitHub",
-            "url": "https://github.com/bdaiinstitute/exploy",
+            "url": "https://github.com/rai-opensource/exploy",
             "html": '<svg stroke="currentColor" fill="currentColor" stroke-width="0" viewBox="0 0 16 16"><path fill-rule="evenodd" d="M8 0C3.58 0 0 3.58 0 8c0 3.54 2.29 6.53 5.47 7.59.4.07.55-.17.55-.38 0-.19-.01-.82-.01-1.49-2.01.37-2.53-.49-2.69-.94-.09-.23-.48-.94-.82-1.13-.28-.15-.68-.52-.01-.53.63-.01 1.08.58 1.23.82.72 1.21 1.87.87 2.33.66.07-.52.28-.87.51-1.07-1.78-.2-3.64-.89-3.64-3.95 0-.87.31-1.59.82-2.15-.08-.2-.36-1.02.08-2.12 0 0 .67-.21 2.2.82.64-.18 1.32-.27 2-.27.68 0 1.36.09 2 .27 1.53-1.04 2.2-.82 2.2-.82.44 1.1.16 1.92.08 2.12.51.56.82 1.27.82 2.15 0 3.07-1.87 3.75-3.65 3.95.29.25.54.73.54 1.48 0 1.07-.01 1.93-.01 2.2 0 .21.15.46.55.38A8.013 8.013 0 0016 8c0-4.42-3.58-8-8-8z"></path></svg>',
             "class": "",
         },
@@ -204,10 +204,7 @@ def setup(app):
 suppress_warnings = ["myst.xref_missing"]
 
 # Links that are valid but not yet publicly available (e.g. unreleased paths on GitHub)
-linkcheck_ignore = [
-    # The repository is private; GitHub returns 404 for unauthenticated requests.
-    r"https://github\.com/bdaiinstitute/exploy/",
-]
+linkcheck_ignore = []
 
 # GitHub renders anchors client-side, so Sphinx linkcheck cannot verify them.
 linkcheck_anchors_ignore_for_url = [

@@ -16,7 +16,7 @@ By the end of this tutorial you will know how to:
 4. Load the ONNX model and run the closed-loop control cycle.
 
 > **Note:** A complete, runnable version of the code in this tutorial is available in
-> [`examples/controller/`](https://github.com/bdaiinstitute/exploy/tree/main/examples/controller/).
+> [`examples/controller/`](https://github.com/rai-opensource/exploy/tree/main/examples/controller/).
 > This tutorial explains the details behind that example step by step.
 >
 > **See also:** If you haven't exported your model yet, start with the

@@ -18,7 +18,7 @@ By the end of this tutorial you will know how to:
 6. Validate the export by comparing ONNX outputs against the original environment.
 
 > **Note:** A complete, runnable version of the code in this tutorial is available as a test in
-> [`python/exploy/exporter/core/tests/test_export_environment.py`](https://github.com/bdaiinstitute/exploy/blob/main/python/exploy/exporter/core/tests/test_export_environment.py).
+> [`python/exploy/exporter/core/tests/test_export_environment.py`](https://github.com/rai-opensource/exploy/blob/main/python/exploy/exporter/core/tests/test_export_environment.py).
 > This tutorial explains the details behind that test step by step.
 
 ## Prerequisites
@@ -435,7 +435,7 @@ debugging and visual inspection.
 You can inspect the exported ONNX file using [Netron](https://github.com/lutzroeder/netron), an
 open-source viewer for neural network models. The screenshots below show the computational graphs
 produced by the export steps in this tutorial.
-The [unit test](https://github.com/bdaiinstitute/exploy/blob/main/python/exploy/exporter/core/tests/test_export_environment.py)
+The [unit test](https://github.com/rai-opensource/exploy/blob/main/python/exploy/exporter/core/tests/test_export_environment.py)
 runs on three different environments:
 
 - an environment that computes observations and uses an MLP actor

@@ -62,10 +62,10 @@ all = ["exploy[isaaclab]"]
 isaaclab = ["isaaclab"]
 
 [project.urls]
-Changelog = "https://github.com/bdaiinstitute/exploy/releases"
-Documentation = "https://bdaiinstitute.github.io/exploy"
-Source = "https://github.com/bdaiinstitute/exploy"
-Tracker = "https://github.com/bdaiinstitute/exploy/issues"
+Changelog = "https://github.com/rai-opensource/exploy/releases"
+Documentation = "https://rai-opensource.github.io/exploy"
+Source = "https://github.com/rai-opensource/exploy"
+Tracker = "https://github.com/rai-opensource/exploy/issues"
 
 # ==========
 # uv support