From e0792e8efbad829894e509ee97e01c022b9d7c16 Mon Sep 17 00:00:00 2001
From: "Egli Adrian (IT-SCI-API-PFI)" <adrian.egli@sbb.ch>
Date: Wed, 22 May 2019 09:41:56 +0200
Subject: [PATCH] text enhancement

---
 README.rst | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.rst b/README.rst
index 3c4398c9..c0f45681 100644
--- a/README.rst
+++ b/README.rst
@@ -24,7 +24,7 @@ It can be used for many learning task where a two-dimensional grid could be the
 
 Flatland delivers a python implementation which can be easily extended. And it provides different baselines for different environments.
 Each environment enables an interesting task to solve. For example, the mutli-agent navigation task for railway train dispatching is a very exciting topic.
-It can be easily extended or adapted to airplane landing problem. This can be the basic implementation for many other transportation planning task.
+It can be easily extended or adapted to the airplane landing problem. This can be the basic implementation for many other transportation planning task.
 The railway environment has a very restricted transition behaviour. Trains can normally not run backwards and the have to follow rails.
 The can only switch cells along rails or the pass a switch in right direction. Thus the navigation behaviour of a train is very restricted.
 The planning problem where many agents share same infrastructure becomes mostly to an ordering problem.
-- 
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