docs: update external links (#292)

docs/source/conf.py

@@ -92,15 +92,15 @@
 # -- External links dictionary -----------------------------------------------
 # Here you will find some often used global url definitions.
 extlinks = {
-    "stable_gym": ("https://github.com/rickstaa/stable-gym/%s", None),
+    "stable-gym": ("https://github.com/rickstaa/stable-gym/%s", None),
     "gymnasium": ("https://gymnasium.farama.org/%s", None),
     "gymnasium-robotics": ("https://robotics.farama.org/%s", None),
     "PyFlyt": ("https://jjshoots.github.io/PyFlyt/documentation%s", None),
     "stable_learning_control": (
         "https://github.com/rickstaa/stable-learning-control/%s",
         None,
     ),
-    "ros_gazebo_gym": ("https://github.com/rickstaa/ros-gazebo-gym/%s", None),
+    "ros-gazebo-gym": ("https://github.com/rickstaa/ros-gazebo-gym/%s", None),
     "pybullet": ("https://pybullet.org/%s", None),
 }
 

docs/source/dev/add_new_envs.rst

@@ -3,7 +3,7 @@ Add new environments
 ====================
 
 Please follow the steps provided in the :gymnasium:`gymnasium documentation <tutorials/gymnasium_basics/environment_creation>`
-when creating a new environment. After you create your environment, you can use the :stable_gym:`stable-gym/stable_gym/__init__.py <blob/main/stable_gym/__init__.py>` 
+when creating a new environment. After you create your environment, you can use the :stable-gym:`stable-gym/stable_gym/__init__.py <blob/main/stable_gym/__init__.py>` 
 file to register them to the ``stable_gym`` package.
 
 stable_gym/stable_gym/envs/__init__.py

docs/source/dev/doc_dev.rst

@@ -7,7 +7,7 @@ Build the documentation
 Install requirements
 --------------------
 
-Building the :stable_gym:`Stable Gym <>` documentation requires `sphinx`_,
+Building the :stable-gym:`Stable Gym <>` documentation requires `sphinx`_,
 the ``stable_gym`` python package and several plugins. All of the above can be
 installed using the following `pip`_ command inside the ``./stable_gym`` folder:
 
@@ -21,12 +21,12 @@ installed using the following `pip`_ command inside the ``./stable_gym`` folder:
 Build the documentation
 -----------------------
 
-To build the `HTML`_ documentation, go into the :stable_gym:`docs/ <tree/main/docs>` directory and run the
+To build the `HTML`_ documentation, go into the :stable-gym:`docs/ <tree/main/docs>` directory and run the
 ``make html`` command. This command will generate the html documentation inside the ``docs/build/html`` directory. If the
 documentation is successfully built, you can also use the ``make linkcheck`` command to check for broken links.
 
 .. attention::
-    Make sure you are in the Conda environment in which you installed the :stable_gym:`stable_gym <>` package
+    Make sure you are in the Conda environment in which you installed the :stable-gym:`stable_gym <>` package
     with it's dependencies.
 
 .. note::

docs/source/envs/envs.rst

@@ -4,7 +4,7 @@
 Environments
 ============
 
-The :stable_gym:`Stable Gym package <>` provides a variety of environments for training and testing
+The :stable-gym:`Stable Gym package <>` provides a variety of environments for training and testing
 :stable_learning_control:`(stable) reinforcement learning (RL) algorithms <>`.
 
 Biological environments
@@ -67,4 +67,4 @@ Robotics environment
 
 .. note::
     The ROS robotics environments of the Stable Gym package were moved into a separate package
-    called :ros_gazebo_gym:`Ros Gazebo Gym <>`.
+    called :ros-gazebo-gym:`Ros Gazebo Gym <>`.

docs/source/get_started/usage.rst

@@ -2,11 +2,11 @@
 How to use
 ==========
 
-The environments in the :stable_gym:`Stable Gym <>` package can be imported like any other 
+The environments in the :stable-gym:`Stable Gym <>` package can be imported like any other 
 :gymnasium:`gymnasium environments <>`. You can then use the :func:`gym.vector.make` function to create an instance of
 the environment. Here's a bare minimum example of using one of the :ref:`Stable Gym environment <envs>`. This will run an instance of the
 :ref:`Oscillator-v1 <oscillator>` environment for 1000 timesteps. You should see the observations
-being printed to the console. More examples can be found in the :stable_gym:`Stable Gym examples folder <tree/main/examples>`.
+being printed to the console. More examples can be found in the :stable-gym:`Stable Gym examples folder <tree/main/examples>`.
 
 .. literalinclude:: ../../../examples/use_stable_gym.py
     :language: python

docs/source/index.rst

@@ -11,7 +11,7 @@ Welcome to Stable Gym's documentation
    :width: 80%
    :align: center
 
-The :stable_gym:`Stable Gym <>` package contains several :gymnasium:`gymnasium environments <>` 
+The :stable-gym:`Stable Gym <>` package contains several :gymnasium:`gymnasium environments <>` 
 with cost functions compatible with (stable) RL agents. It was initially created for the stable RL 
 algorithms in the :stable_learning_control:`Stable Learning Control <>` package but can be 
 used with any RL agent requiring a **positive definite cost function**. For more information about stable

stable_gym/envs/classic_control/ex3_ekf/ex3_ekf.py

@@ -108,14 +108,14 @@ def __init__(
         self.sigma = 0
 
         # Displacement limit set to be [-high, high]
-        high = np.array([10000, 10000, 10000, 10000], dtype=np.float32)
+        high = np.array([10000, 10000, 10000, 10000], dtype=np.float64)
 
         self.action_space = spaces.Box(
-            low=np.array([-10.0, -10.0], dtype=np.float32),
-            high=np.array([10.0, 10.0], dtype=np.float32),
-            dtype=np.float32,
+            low=np.array([-10.0, -10.0], dtype=np.float64),
+            high=np.array([10.0, 10.0], dtype=np.float64),
+            dtype=np.float64,
         )
-        self.observation_space = spaces.Box(-high, high, dtype=np.float32)
+        self.observation_space = spaces.Box(-high, high, dtype=np.float64)
         self.reward_range = (0.0, 100.0)
 
         self._clipped_action = clipped_action