From 667d22b010aa2317ca0bfdc91f80ea599c607636 Mon Sep 17 00:00:00 2001
From: mohanty <mohanty@aicrowd.com>
Date: Tue, 9 Jul 2019 20:09:14 +0000
Subject: [PATCH] Update observation_actions.rst

---
 docs/observation_actions.rst | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/observation_actions.rst b/docs/observation_actions.rst
index 2b658e7..397b4f9 100644
--- a/docs/observation_actions.rst
+++ b/docs/observation_actions.rst
@@ -54,7 +54,7 @@ Tree Observation
 The tree observations is build by exploiting the graph structure of the railway network. The observation is generated by spanning a **4 branched tree** from the current position of the agent. Each branch follows the allowed transitions (backward branch only allowed at dead-ends) untill a cell with multiple allowed transitions is reached. Here the information gathered along the branch is stored as a node in the tree.
 Figure bellow illustrates how such a tree observation is build:
 
-1. From Agent location probe all 4 directions (``L:Blue``, ``F:Green``,``R:Purple``,``B:Red``) starting with left and start branches when transition is allowed.
+1. From Agent location probe all 4 directions (``L:Blue``, ``F:Green``, ``R:Purple``, ``B:Red``) starting with left and start branches when transition is allowed.
 
     1. For each branch walk along the allowed transition till you reach a dead-end, switch or the target destination.
     2. Create a node an fill in node information as stated below.
-- 
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