diff --git a/docs/source/_static/version_switcher.json b/docs/source/_static/version_switcher.json
index cb9b722f5..902b2f350 100644
--- a/docs/source/_static/version_switcher.json
+++ b/docs/source/_static/version_switcher.json
@@ -4,7 +4,13 @@
     "url": "https://maniskill.readthedocs.io/en/latest/"
   },
   {
-    "name": "3.0.0b10 (stable)",
+    "name": "3.0.0b11 (stable)",
+    "version": "v3.0.0b11",
+    "url": "https://maniskill.readthedocs.io/en/v3.0.0b11/",
+    "preferred": true
+  }
+  {
+    "name": "3.0.0b10",
     "version": "v3.0.0b10",
     "url": "https://maniskill.readthedocs.io/en/v3.0.0b10/",
     "preferred": true
diff --git a/examples/baselines/tdmpc2/environment.yaml b/examples/baselines/tdmpc2/environment.yaml
index b90a0cbcf..96844f049 100644
--- a/examples/baselines/tdmpc2/environment.yaml
+++ b/examples/baselines/tdmpc2/environment.yaml
@@ -47,7 +47,7 @@ dependencies:
     - tqdm==4.66.1
     - wandb==0.16.2
     - wheel==0.38.0
-    - mani_skill>=3.0.0b10
+    - mani_skill>=3.0.0b11
     ####################
     # Gym:
     # (unmaintained but required for maniskill2/meta-world/myosuite)
diff --git a/mani_skill/__init__.py b/mani_skill/__init__.py
index 1f4ea5a79..6d8f65d32 100644
--- a/mani_skill/__init__.py
+++ b/mani_skill/__init__.py
@@ -3,7 +3,7 @@
 
 from .utils.logging_utils import logger
 
-__version__ = "3.0.0b10"
+__version__ = "3.0.0b11"
 
 # ---------------------------------------------------------------------------- #
 # Setup paths
diff --git a/setup.py b/setup.py
index 30932fc24..0b035eff8 100644
--- a/setup.py
+++ b/setup.py
@@ -1,6 +1,6 @@
 from setuptools import find_packages, setup
 
-__version__ = "3.0.0b10"
+__version__ = "3.0.0b11"
 
 long_description = """ManiSkill is a powerful unified framework for robot simulation and training powered by [SAPIEN](https://sapien.ucsd.edu/), with a strong focus on manipulation skills. The entire tech stack is as open-source as possible and ManiSkill v3 is in beta release now. Among its features include:
 - GPU parallelized visual data collection system. On the high end you can collect RGBD + Segmentation data at 30,000+ FPS with a 4090 GPU, 10-1000x faster compared to most other simulators.