Update changelog

DLR-RM · Apr 25, 2024 · 23268cd · 23268cd
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diff --git a/docs/guide/rl_tips.rst b/docs/guide/rl_tips.rst
@@ -16,7 +16,7 @@ as well as tips and tricks when using a custom environment or implementing an RL
 
 .. note::
 
-	We also have a `video on Designing and Running Real-World RL Experiments <https://youtu.be/eZ6ZEpCi6D8>`_, slides are `can be found online <https://araffin.github.io/slides/design-real-rl-experiments/>`_.
+	We also have a `video on Designing and Running Real-World RL Experiments <https://youtu.be/eZ6ZEpCi6D8>`_, slides `can be found online <https://araffin.github.io/slides/design-real-rl-experiments/>`_.
 
 
 General advice when using Reinforcement Learning

diff --git a/docs/misc/changelog.rst b/docs/misc/changelog.rst
@@ -3,6 +3,41 @@
 Changelog
 ==========
 
+Release 2.4.0a0 (WIP)
+--------------------------
+
+Breaking Changes:
+^^^^^^^^^^^^^^^^^
+
+New Features:
+^^^^^^^^^^^^^
+
+Bug Fixes:
+^^^^^^^^^^
+
+`SB3-Contrib`_
+^^^^^^^^^^^^^^
+
+`RL Zoo`_
+^^^^^^^^^
+
+`SBX`_ (SB3 + Jax)
+^^^^^^^^^^^^^^^^^^
+
+Deprecations:
+^^^^^^^^^^^^^
+
+Others:
+^^^^^^^
+
+Bug Fixes:
+^^^^^^^^^^
+
+Documentation:
+^^^^^^^^^^^^^^
+- Added ER-MRL to the project page
+
+
 Release 2.3.1 (2024-04-22)
 --------------------------
 
@@ -14,7 +49,6 @@ Documentation:
 ^^^^^^^^^^^^^^
 - Updated SBX documentation (CrossQ and deprecated DroQ)
 - Updated RL Tips and Tricks section
-- Added ER-MRL to the project page
 
 
 Release 2.3.0 (2024-03-31)

diff --git a/docs/misc/projects.rst b/docs/misc/projects.rst
@@ -6,8 +6,6 @@ Projects
 This is a list of projects using stable-baselines3.
 Please tell us, if you want your project to appear on this page ;)
 
-
-
 DriverGym
 ---------
 
@@ -246,7 +244,8 @@ Playing Pokemon Red with Reinforcement Learning.
 Evolving Reservoirs for Meta Reinforcement Learning
 ---------------------------------------------------
 
-Meta-RL framework to optimize reservoir-like neural structures (special kind of RNNs), and integrate them to RL agents to improve their training. It enables solving environments involving partial observability or locomotion (e.g MuJoCo), and optimizing reservoirs that can generalize to unseen tasks.   
+Meta-RL framework to optimize reservoir-like neural structures (special kind of RNNs), and integrate them to RL agents to improve their training.
+It enables solving environments involving partial observability or locomotion (e.g MuJoCo), and optimizing reservoirs that can generalize to unseen tasks.
 
 | Authors: Corentin Léger, Gautier Hamon, Eleni Nisioti, Xavier Hinaut, Clément Moulin-Frier
 | Github: https://github.com/corentinlger/ER-MRL

diff --git a/stable_baselines3/version.txt b/stable_baselines3/version.txt
@@ -1 +1 @@
-2.3.1
+2.4.0a0