Change org name to "Google DeepMind" in various docs.

PiperOrigin-RevId: 540691205
Change-Id: I9eb99eb18893e6748892334470211dbd9d5808db

.github/workflows/build.yml

@@ -1,5 +1,5 @@
 # This configuration is used to build and test on GitHub Actions only.
-# It is not the same configuration that is used by DeepMind to create release binaries.
+# It is not the same configuration that is used by Google DeepMind to create release binaries.
 # The "official" binaries are built with Clang 13 on all platforms, and are linked against libc++
 # on Linux.
 #

README.md

@@ -20,7 +20,7 @@ in robotics, biomechanics, graphics and animation, machine learning, and other
 areas which demand fast and accurate simulation of articulated structures
 interacting with their environment.
 
-This repository is maintained by [DeepMind](https://www.deepmind.com/).
+This repository is maintained by [Google DeepMind](https://www.deepmind.com/).
 
 MuJoCo has a C API and is intended for researchers and developers. The runtime
 simulation module is tuned to maximize performance and operates on low-level
@@ -138,8 +138,9 @@ These packages give users of various languages access to MuJoCo functionality:
 #### First-party bindings:
 
 - [Python bindings](https://mujoco.readthedocs.io/en/stable/python.html)
-  - [dm_control](https://github.com/deepmind/dm_control), DeepMind's related
-  environment stack, includes [PyMJCF](https://github.com/deepmind/dm_control/blob/main/dm_control/mjcf/README.md),
+  - [dm_control](https://github.com/deepmind/dm_control), Google DeepMind's
+  related environment stack, includes
+  [PyMJCF](https://github.com/deepmind/dm_control/blob/main/dm_control/mjcf/README.md),
   a module for procedural manipulation of MuJoCo models.
 - [C# bindings and Unity plug-in](https://mujoco.readthedocs.io/en/stable/unity.html)
 

dist/mujoco.rc

@@ -14,7 +14,7 @@ FILETYPE 0x1
       VALUE "FileVersion", "2.3.6"
       VALUE "InternalName", "mujoco.dll"
       VALUE "OriginalFilename", "mujoco.dll"
-      VALUE "CompanyName", "DeepMind"
+      VALUE "CompanyName", "Google DeepMind"
       VALUE "LegalCopyright", "Copyright 2021 DeepMind Technologies Limited."
     }
   }

dist/simulate.rc

@@ -16,7 +16,7 @@ FILETYPE 0x1
       VALUE "FileVersion", "2.3.6"
       VALUE "InternalName", "simulate.exe"
       VALUE "OriginalFilename", "simulate.exe"
-      VALUE "CompanyName", "DeepMind"
+      VALUE "CompanyName", "Google DeepMind"
       VALUE "LegalCopyright", "Copyright 2021 DeepMind Technologies Limited."
     }
   }

doc/conf.py

@@ -32,7 +32,7 @@ from sphinxcontrib import youtube  # pylint: disable=g-import-not-at-top,unused-
 
 project = 'MuJoCo'
 copyright = 'DeepMind Technologies Limited'  # pylint: disable=redefined-builtin
-author = 'DeepMind'
+author = 'Google DeepMind'
 
 # -- General configuration ---------------------------------------------------
 

doc/models.rst

@@ -8,7 +8,7 @@ MuJoCo Menagerie
 ----------------
 
 Menagerie is a collection of high-quality simulation models for MuJoCo, curated
-by DeepMind.
+by Google DeepMind.
 
 For more information, visit the `Menagerie repository <https://github.com/deepmind/mujoco_menagerie>`__.
 

doc/python.rst

@@ -12,10 +12,10 @@ low-level bindings that are meant to give as close to a direct access to the MuJ
 order to provide an API and semantics that developers would expect in a typical Python library, the bindings
 deliberately diverge from the raw MuJoCo API in a number of places, which are documented throughout this page.
 
-DeepMind’s `dm_control <https://github.com/deepmind/dm_control>`__ reinforcement learning library (which prior to
+Google DeepMind’s `dm_control <https://github.com/deepmind/dm_control>`__ reinforcement learning library (which prior to
 version 1.0.0 implemented its own MuJoCo bindings based on ``ctypes``) has been updated to depend on the ``mujoco``
-package and continues to be supported by DeepMind. Changes in dm_control should be largely transparent to users of
-previous versions, however code that depended directly on its low-level API may need to be updated. Consult the
+package and continues to be supported by Google DeepMind. Changes in dm_control should be largely transparent to users
+of previous versions, however code that depended directly on its low-level API may need to be updated. Consult the
 `migration guide <https://github.com/deepmind/dm_control/blob/main/migration_guide_1.0.md>`__ for detail.
 
 For mujoco-py users, we include :ref:`notes <PyMjpy_migration>` below to aid migration.

python/README.md

@@ -9,8 +9,8 @@
 
 This package is the canonical Python bindings for the
 [MuJoCo physics engine](https://github.com/deepmind/mujoco).
-These bindings are developed and maintained by DeepMind, and is kept up-to-date
-with the latest developments in MuJoCo itself.
+These bindings are developed and maintained by Google DeepMind, and is kept
+up-to-date with the latest developments in MuJoCo itself.
 
 The `mujoco` package provides direct access to raw MuJoCo C API functions,
 structs, constants, and enumerations. Structs are provided as Python classes,

python/setup.py

@@ -349,7 +349,7 @@ def find_data_files(package_dir, patterns):
 SETUP_KWARGS = dict(
     name='mujoco',
     version=__version__,
-    author='DeepMind',
+    author='Google DeepMind',
     author_email='mujoco@deepmind.com',
     description='MuJoCo Physics Simulator',
     long_description=get_long_description(),

unity/package.json

@@ -5,7 +5,7 @@
   "description": "MuJoCo importer and runtime plug-in",
   "dependencies": {},
   "author": {
-    "name" : "DeepMind",
+    "name" : "Google DeepMind",
     "email" : "mujoco@deepmind.com",
     "url" : "https://mujoco.org/"
   },