diff --git a/.codespell_words b/.codespell_words
new file mode 100644
index 000000000..c67e93f80
--- /dev/null
+++ b/.codespell_words
@@ -0,0 +1,4 @@
+Parth
+Reacher
+reacher
+theses
diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
new file mode 100644
index 000000000..5f25aa185
--- /dev/null
+++ b/.pre-commit-config.yaml
@@ -0,0 +1,40 @@
+# To use:
+#
+#     pre-commit run -a
+#
+# Or:
+#
+#     pre-commit install  # (runs every time you commit in git)
+#
+# To update this file:
+#
+#     pre-commit autoupdate
+#
+# See https://github.com/pre-commit/pre-commit
+
+repos:
+  # Standard hooks
+  - repo: https://github.com/pre-commit/pre-commit-hooks
+    rev: v4.5.0
+    hooks:
+      - id: check-added-large-files
+      - id: check-case-conflict
+      - id: check-json
+      - id: check-merge-conflict
+      - id: check-symlinks
+      - id: check-toml
+      - id: check-yaml
+      - id: debug-statements
+      - id: destroyed-symlinks
+      - id: detect-private-key
+      - id: end-of-file-fixer
+        exclude: docs/_static/img/
+      - id: mixed-line-ending
+      - id: pretty-format-json
+      - id: trailing-whitespace
+
+  - repo: https://github.com/codespell-project/codespell
+    rev: v2.3.0
+    hooks:
+      - id: codespell
+        args: ['--write-changes', '--ignore-words=.codespell_words']
diff --git a/docs/common/envs.rst b/docs/common/envs.rst
index 4c20ce4c7..3934c958b 100644
--- a/docs/common/envs.rst
+++ b/docs/common/envs.rst
@@ -21,4 +21,4 @@ SimpleMultiObsEnv
 -----------------
 
 .. autoclass:: SimpleMultiObsEnv
-  :members:
\ No newline at end of file
+  :members:
diff --git a/docs/misc/projects.rst b/docs/misc/projects.rst
index 7e348acd9..b4f042b5c 100644
--- a/docs/misc/projects.rst
+++ b/docs/misc/projects.rst
@@ -266,11 +266,11 @@ Real world experiments were conducted during RoboCup competitions on the Sigmaba
 FRASA: Fall Recovery And Stand up agent
 ---------------------------------------
 
-A Deep Reinforcement Learning agent for a humanoid robot that learns to recover from falls and stand up. 
+A Deep Reinforcement Learning agent for a humanoid robot that learns to recover from falls and stand up.
 
-The agent is trained using the MuJoCo physics engine. Real world experiments are conducted on the 
+The agent is trained using the MuJoCo physics engine. Real world experiments are conducted on the
 Sigmaban humanoid robot, a small-sized humanoid designed by the *Rhoban Team* to compete in the RoboCup Kidsize League.
-The results, detailled in the paper and the video, show that the agent is able to recover from 
+The results, detailed in the paper and the video, show that the agent is able to recover from
 various external disturbances and stand up in a few seconds.
 
 | Authors: Marc Duclusaud, Clément Gaspard, Grégoire Passault, Mélodie Daniel, Olivier Ly
diff --git a/scripts/run_docker_gpu.sh b/scripts/run_docker_gpu.sh
index 37b9ee9e0..d4e0ab6cf 100755
--- a/scripts/run_docker_gpu.sh
+++ b/scripts/run_docker_gpu.sh
@@ -9,4 +9,4 @@ NVIDIA_ARG="--gpus all"
 
 docker run -it ${NVIDIA_ARG} --rm --network host --ipc=host \
 --mount src=$(pwd),target=/home/mamba/stable-baselines3,type=bind stablebaselines/stable-baselines3:latest \
-bash -c "cd /home/mamba/stable-baselines3/ && $cmd_line"
\ No newline at end of file
+bash -c "cd /home/mamba/stable-baselines3/ && $cmd_line"