README.md

@@ -93,7 +93,7 @@ NuCon includes a preliminary Reinforcement Learning (RL) environment based on th
 To use you'll need to install the following packages:
 
 ```bash
-pip install -e .[rl] # gymnasium numpy
+pip install gymnasium numpy
 ```
 
 ### RL Environment
@@ -143,7 +143,7 @@ NuCon provides a built-in simulator to address the challenge of slow training ti
 To use you'll need to install the following packages:
 
 ```bash
-pip install -e .[sim] # torch flask
+pip install torch flask
 ```
 
 ### Usage
@@ -193,7 +193,7 @@ To address the challenge of unknown game dynamics, NuCon provides tools for coll
 To use you'll need to install the following packages:
 
 ```bash
-pip install -e .[model] # torch numpy
+pip install torch numpy
 ```
 
 ### Usage:
@@ -229,7 +229,7 @@ NuCon includes a test suite to verify its functionality and compatibility with t
 To run the tests:
 
 1. Ensure the Nucleares game is running and accessible at http://localhost:8785/ (or update the URL in the test setup).
-2. Install pytest: `pip install pytest` (or `pip install -e .[dev]`)
+2. Install pytest: `pip install pytest`
 3. Run the tests:
    ```bash
    pytest test/test_core.py
@@ -268,7 +268,7 @@ What? Why would you wanna cite it? What are you even doing?
 To use you'll need to install the following packages:
 
 ```bash
-pip install -e .[drake] # pillow
+pip install pillow
 ```
 
 ### Usage:

pyproject.toml

@@ -30,7 +30,6 @@ Homepage = "https://git.dominik-roth.eu/dodox/nucon"
 [project.optional-dependencies]
 dev = ["pytest"]
 rl = ["gymnasium", "numpy"]
-sim = ["torch", "flask"]
 model = ["torch", "numpy"]
 drake = ["Pillow"]