installation in docs

README.md

@@ -40,7 +40,13 @@ The ARLBench is a benchmark for HPO in RL - evaluate your HPO methods fast and o
 
 ## Installation
 
-There are currently two different ways to install ARLBench:
+There are currently two different ways to install ARLBench. 
+Whichever you choose, we recommend to create a virtual environment for the installation:
+
+```bash
+conda create -n arlbench python=3.10
+conda activate arlbench
+```
 
 <details>
 <summary>PyPI</summary>
@@ -66,11 +72,6 @@ git clone git@github.com:automl/arlbench.git
 cd arlbench
 ```
 
-We recommend to create a virtual environment for the installation:
-```bash
-conda create -n arlbench python=3.10
-```
-
 Then you can install the benchmark. For the base version, use:
 ```bash
 make install

docs/installation.rst

@@ -1,6 +1,39 @@
 Installation
 ============
 
-.. warning::
+There are two ways you can install ARLBench: PyPI and GitHub. The first one is the simplest way to install ARLBench, while the second one is the best way to install the latest version of ARLBench.
+Either way, you will likely want to first create a virtual environment to install ARLBench into. This can be done by running the following command:
 
-    This page is under construction.
+.. code-block:: bash
+
+    conda create -n arlbench python=3.10
+    conda activate arlbench
+
+1. Using PyPI
+
+This is the simplest way to install ARLBench. Just run the following command:
+
+.. code-block:: bash
+
+    pip install arlbench
+
+2. Downloading from GitHub
+
+This is the best way to install the latest version of ARLBench. First, clone the repository:
+
+.. code-block:: bash
+
+    git clone git@github.com:automl/arlbench.git
+    cd arlbench
+
+Then, install the package:
+
+.. code-block:: bash
+
+    make install
+
+If you are on a Linux system and would like to use envpool environments, you can instead use:
+
+.. code-block:: bash
+
+    make install-envpool