README touch ups

README.md

@@ -10,8 +10,6 @@
 
 Flatland is a open-source toolkit for developing and comparing Multi Agent Reinforcement Learning algorithms in little (or ridiculously large!) gridworlds.
 
-The base environment is a two-dimensional grid in which many agents can be placed, and each agent must solve one or more navigational tasks in the grid world. 
-
 [The official documentation](http://flatland.aicrowd.com/) contains full details about the environment and problem statement
 
 🏆 Challenges
@@ -20,24 +18,23 @@ The base environment is a two-dimensional grid in which many agents can be place
 This library was developed specifically for the AIcrowd [Flatland challenges](http://flatland.aicrowd.com/research/top-challenge-solutions.html) in which we strongly encourage you to take part in!
 
 - [NeurIPS 2020 Challenge](https://www.aicrowd.com/challenges/neurips-2020-flatland-challenge/)
-- [2019 Challegent](https://www.aicrowd.com/challenges/flatland-challenge)
+- [2019 Challenge](https://www.aicrowd.com/challenges/flatland-challenge)
 
 📦 Setup
 ---
 
-### Prerequisites
+### Prerequisites (optional)
 
-* Install [Anaconda](https://www.anaconda.com/distribution/)
-* Create a new conda environment:
+Install [Anaconda](https://www.anaconda.com/distribution/) and create a new conda environment:
 
 ```console
 $ conda create python=3.6 --name flatland-rl
 $ conda activate flatland-rl
 ```
 
-### Stable Release
+### Stable release
 
-You can install Flatland from pip:
+Install Flatland from pip:
 
 ```console
 $ pip install flatland-rl
@@ -49,13 +46,13 @@ This is the preferred method to install Flatland, as it will always install the
 
 The Flatland code source is available from [AIcrowd gitlab](https://gitlab.aicrowd.com/flatland/flatland).
 
-You can clone the public repository:
+Clone the public repository:
 
 ```console
 $ git clone git@gitlab.aicrowd.com:flatland/flatland.git
 ```
 
-Once you have a copy of the source, you can install it with:
+Once you have a copy of the source, install it with:
 
 ```console
 $ python setup.py install
@@ -78,7 +75,7 @@ python setup.py test
 👥 Credits
 ---
 
-This library was developed by [SBB](https://www.sbb.ch/en/), [AIcrowd](https://www.aicrowd.com/) and [numerous contributors](http://flatland.aicrowd.com/misc/credits.html) and AIcrowd research fellows from the AIcrowd community. 
+This library was developed by [SBB](https://www.sbb.ch/en/), [Deutsche Bahn](https://www.deutschebahn.com/), [AIcrowd](https://www.aicrowd.com/) and [numerous contributors](http://flatland.aicrowd.com/misc/credits.html) and AIcrowd research fellows from the AIcrowd community. 
 
 ➕ Contributions
 ---