diff --git a/docs/conf.py b/docs/conf.py
index f2823e2..71186e7 100644
--- a/docs/conf.py
+++ b/docs/conf.py
@@ -23,9 +23,6 @@ def __getattr__(cls, name):
         return MagicMock()
 
 sys.modules['gbrl.gbrl_cpp'] = Mock()
-# List of modules to mock
-# MOCK_MODULES = ['numpy', 'torch', 'gymnasium', 'sklearn']
-# sys.modules.update((mod_name, Mock()) for mod_name in MOCK_MODULES)
 project = 'GBRL'
 copyright = '2024, NVIDIA Corporation'
 author = 'Benjamin Fuhrer, Chen Tessler, Gal Dalal'
diff --git a/docs/index.rst b/docs/index.rst
index bdc8141..0003bee 100644
--- a/docs/index.rst
+++ b/docs/index.rst
@@ -7,16 +7,6 @@ Welcome to GBRL's documentation!
 ================================
 Gradient Boosting Reinforcement Learning (GBRL) is a Python-based GBT library designed and optimized for reinforcement learning (RL). GBRL is implemented in C++/CUDA aimed to seamlessly integrate within popular RL libraries. 
 
-
-Quickstart
-==========
-
-Install GBRL via pip:
-
-.. code-block:: console
-
-   $ pip install gbrl
-
 .. toctree::
    :maxdepth: 2
    :caption: User Guide: