diff --git a/README.md b/README.md
index 6e55f1030..018b8c6f3 100644
--- a/README.md
+++ b/README.md
@@ -85,7 +85,7 @@ Documentation is available online: [https://sb3-contrib.readthedocs.io/](https:/
 
 ## Stable-Baselines Jax (SBX)
 
-[Stable Baselines Jax (SBX)](https://github.com/araffin/sbx) is a proof of concept version of Stable-Baselines3 in Jax.
+[Stable Baselines Jax (SBX)](https://github.com/araffin/sbx) is a proof of concept version of Stable-Baselines3 in Jax, with recent algorithms like DroQ or CrossQ.
 
 It provides a minimal number of features compared to SB3 but can be much faster (up to 20x times!): https://twitter.com/araffin2/status/1590714558628253698
 
diff --git a/docs/guide/algos.rst b/docs/guide/algos.rst
index 33ac3ba46..d5e7ae1d2 100644
--- a/docs/guide/algos.rst
+++ b/docs/guide/algos.rst
@@ -43,7 +43,8 @@ Actions ``gym.spaces``:
 
 .. note::
 
-  More algorithms (like QR-DQN or TQC) are implemented in our :ref:`contrib repo <sb3_contrib>`.
+  More algorithms (like QR-DQN or TQC) are implemented in our :ref:`contrib repo <sb3_contrib>`
+  and in our :ref:`SBX (SB3 + Jax) repo <sbx>` (DroQ, CrossQ, ...).
 
 .. note::
 
diff --git a/docs/guide/sbx.rst b/docs/guide/sbx.rst
index 52b4348bc..ed5369ea4 100644
--- a/docs/guide/sbx.rst
+++ b/docs/guide/sbx.rst
@@ -17,6 +17,7 @@ Implemented algorithms:
 - Deep Q Network (DQN)
 - Twin Delayed DDPG (TD3)
 - Deep Deterministic Policy Gradient (DDPG)
+- Batch Normalization in Deep Reinforcement Learning (CrossQ)
 
 
 As SBX follows SB3 API, it is also compatible with the `RL Zoo <https://github.com/DLR-RM/rl-baselines3-zoo>`_.
@@ -29,16 +30,17 @@ For that you will need to create two files:
   import rl_zoo3
   import rl_zoo3.train
   from rl_zoo3.train import train
-
-  from sbx import DDPG, DQN, PPO, SAC, TD3, TQC, DroQ
+  from sbx import DDPG, DQN, PPO, SAC, TD3, TQC, CrossQ
 
   rl_zoo3.ALGOS["ddpg"] = DDPG
   rl_zoo3.ALGOS["dqn"] = DQN
-  rl_zoo3.ALGOS["droq"] = DroQ
+  # See SBX readme to use DroQ configuration
+  # rl_zoo3.ALGOS["droq"] = DroQ
   rl_zoo3.ALGOS["sac"] = SAC
   rl_zoo3.ALGOS["ppo"] = PPO
   rl_zoo3.ALGOS["td3"] = TD3
   rl_zoo3.ALGOS["tqc"] = TQC
+  rl_zoo3.ALGOS["crossq"] = CrossQ
   rl_zoo3.train.ALGOS = rl_zoo3.ALGOS
   rl_zoo3.exp_manager.ALGOS = rl_zoo3.ALGOS
 
@@ -56,16 +58,17 @@ Then you can call ``python train_sbx.py --algo sac --env Pendulum-v1`` and use t
   import rl_zoo3
   import rl_zoo3.enjoy
   from rl_zoo3.enjoy import enjoy
-
-  from sbx import DDPG, DQN, PPO, SAC, TD3, TQC, DroQ
+  from sbx import DDPG, DQN, PPO, SAC, TD3, TQC, CrossQ
 
   rl_zoo3.ALGOS["ddpg"] = DDPG
   rl_zoo3.ALGOS["dqn"] = DQN
-  rl_zoo3.ALGOS["droq"] = DroQ
+  # See SBX readme to use DroQ configuration
+  # rl_zoo3.ALGOS["droq"] = DroQ
   rl_zoo3.ALGOS["sac"] = SAC
   rl_zoo3.ALGOS["ppo"] = PPO
   rl_zoo3.ALGOS["td3"] = TD3
   rl_zoo3.ALGOS["tqc"] = TQC
+  rl_zoo3.ALGOS["crossq"] = CrossQ
   rl_zoo3.enjoy.ALGOS = rl_zoo3.ALGOS
   rl_zoo3.exp_manager.ALGOS = rl_zoo3.ALGOS
 
diff --git a/docs/misc/changelog.rst b/docs/misc/changelog.rst
index 331ae1db2..9080b6245 100644
--- a/docs/misc/changelog.rst
+++ b/docs/misc/changelog.rst
@@ -3,6 +3,18 @@
 Changelog
 ==========
 
+Release 2.3.1 (2024-04-22)
+--------------------------
+
+Bug Fixes:
+^^^^^^^^^^
+- Cast return value of learning rate schedule to float, to avoid issue when loading model because of ``weights_only=True`` (@markscsmith)
+
+Documentation:
+^^^^^^^^^^^^^^
+- Updated SBX documentation (CrossQ and deprecated DroQ)
+
+
 Release 2.3.0 (2024-03-31)
 --------------------------
 
@@ -48,7 +60,6 @@ New Features:
 Bug Fixes:
 ^^^^^^^^^^
 - Fixed ``monitor_wrapper`` argument that was not passed to the parent class, and dones argument that wasn't passed to ``_update_into_buffer`` (@corentinlger)
-- Fixed ``learning_rate`` argument that could cause weights_only=True to fail if passed a function with non-float types (e.g. ``learning_rate=lambda _: np.sin(1.0)``) (@markscsmith)
 
 `SB3-Contrib`_
 ^^^^^^^^^^^^^^