Update 2 files

- /README.md
- /overcooked_simulator/__init__.py

README.md

@@ -10,7 +10,7 @@ The real-time overcooked simulation for a cognitive cooperative system.
 
 You have two options to install the environment. Either clone it and install it locally or install it in your
 site-packages.
-You need a Python 3.10 or greater environment. Either conda or PyEnv.
+You need a Python 3.10 or newer environment. Either conda or PyEnv.
 
 ### Local Editable Installation
 

overcooked_simulator/__init__.py

@@ -5,7 +5,7 @@ This is the documentation of the Overcooked Simulator.
 # About the package
 
 The package contains an environment for cooperation between players/agents. A PyGameGUI visualizes the game to
-human or visual agents in 2D. A 3D web-enabled version (for example for online studies, currently under development)
+human or virtual agents in 2D. A 3D web-enabled version (for example for online studies, currently under development)
 can be found [here](https://gitlab.ub.uni-bielefeld.de/scs/cocosy/godot-overcooked-3d-visualization).
 
 # Background / Literature
@@ -21,7 +21,7 @@ like a "real" cooperative / human partner.
 
 # Installation
 
-You need a Python **3.10** or greater environment.
+You need a Python **3.10** or newer environment.
 ```bash
 pip install overcooked-environment@git+https://gitlab.ub.uni-bielefeld.de/scs/cocosy/overcooked-simulator@main
 ```
@@ -33,8 +33,8 @@ pip install -e .
 ```
 
 # Usage / Examples
- Our overcooked simulator is designed for real time interaction but also with reinforcement
-learning in mind (gymnasium environment). It focuses on configurability, extensibility and appealing visualization
+ Our overcooked simulator is designed for real time interaction but also for reinforcement
+learning (gymnasium environment) with time independent step function calls. It focuses on configurability, extensibility and appealing visualization
 options.
 
 ## Human Player
@@ -44,7 +44,7 @@ Run it via the command line (in your pyenv/conda environment):
 overcooked-sim  --url "localhost" --port 8000
 ```
 
-*The arguments are the defaults. Therefore, they are optional.*
+*The arguments shown are the defaults.*
 
 You can also start the **Game Server** and the **PyGame GUI** individually in different terminals.
 
@@ -82,14 +82,13 @@ create_env = CreateEnvironmentConfig(
     layout_config=layout,
 ).model_dump(mode="json")
 
+env_info = requests.post("http://localhost:8000/manage/create_env", json=create_env)
 if env_info.status_code == 403:
     raise ValueError(f"Forbidden Request: {env_info.json()['detail']}")
 env_info: CreateEnvResult = env_info.json()
-
-env_info = requests.post("http://localhost:8000/manage/create_env", json=create_env)
 ```
 
-Connect for each player a websocket (threaded or async).
+Connect each player via a websocket (threaded or async).
 ```python
 import json
 import dataclasses