diff --git a/.github/workflows/docs.yml b/.github/workflows/docs.yml
index 10ea80c1dcd..77abee7d4fc 100644
--- a/.github/workflows/docs.yml
+++ b/.github/workflows/docs.yml
@@ -28,13 +28,23 @@ jobs:
     with:
       repository: pytorch/rl
       upload-artifact: docs
-      runner: "linux.g5.4xlarge.nvidia.gpu"
-      docker-image: "nvidia/cudagl:11.4.0-base"
       timeout: 120
       script: |
         set -e
         set -v
-        apt-get update && apt-get install -y -f git wget gcc g++ dialog apt-utils
+        # apt-get update && apt-get install -y -f git wget gcc g++ dialog apt-utils
+        yum makecache
+        # yum install -y glfw glew mesa-libGL mesa-libGL-devel mesa-libOSMesa-devel egl-utils freeglut
+        # Install Mesa and OpenGL Libraries:
+        yum install -y glfw mesa-libGL mesa-libGL-devel egl-utils freeglut mesa-libGLU mesa-libEGL
+        # Install DRI Drivers:
+        yum install -y mesa-dri-drivers
+        # Install Xvfb for Headless Environments:
+        yum install -y xorg-x11-server-Xvfb
+        # xhost +local:docker
+        # Xvfb :1 -screen 0 1024x768x24 &
+        # export DISPLAY=:1
+
         root_dir="$(pwd)"
         conda_dir="${root_dir}/conda"
         env_dir="${root_dir}/env"
@@ -51,7 +61,7 @@ jobs:
         conda activate "${env_dir}"
 
         # 2. upgrade pip, ninja and packaging
-        apt-get install python3-pip unzip -y -f
+        # apt-get install python3-pip unzip -y -f
         python3 -m pip install --upgrade pip
         python3 -m pip install setuptools ninja packaging cmake -U
         
diff --git a/docs/source/reference/trainers.rst b/docs/source/reference/trainers.rst
index 8f6be633743..264534a725c 100644
--- a/docs/source/reference/trainers.rst
+++ b/docs/source/reference/trainers.rst
@@ -79,7 +79,7 @@ Hooks can be split into 3 categories: **data processing** (``"batch_process"`` a
 
 - **Logging** hooks take a batch of data presented as a ``TensorDict`` and write in the logger
   some information retrieved from that data. Examples include the ``LogValidationReward`` hook, the reward
-  logger (``LogScaler``) and such. Hooks should return a dictionary (or a None value) containing the
+  logger (``LogScalar``) and such. Hooks should return a dictionary (or a None value) containing the
   data to log. The key ``"log_pbar"`` is reserved to boolean values indicating if the logged value
   should be displayed on the progression bar printed on the training log.
 
@@ -174,7 +174,7 @@ Trainer and hooks
     BatchSubSampler
     ClearCudaCache
     CountFramesLog
-    LogScaler
+    LogScalar
     OptimizerHook
     LogValidationReward
     ReplayBufferTrainer
diff --git a/test/mocking_classes.py b/test/mocking_classes.py
index 77fbff865be..6f666290376 100644
--- a/test/mocking_classes.py
+++ b/test/mocking_classes.py
@@ -2,6 +2,8 @@
 #
 # This source code is licensed under the MIT license found in the
 # LICENSE file in the root directory of this source tree.
+from __future__ import annotations
+
 from typing import Dict, List, Optional
 
 import torch