From 4d4689782ab276df5ecbf23a928361a05057ce7b Mon Sep 17 00:00:00 2001
From: Erik Nygren <erik.nygren@sbb.ch>
Date: Thu, 23 May 2019 21:57:39 +0200
Subject: [PATCH] fixed indent issue with code block
---
docs/gettingstarted.rst | 8 ++++----
1 file changed, 4 insertions(+), 4 deletions(-)
diff --git a/docs/gettingstarted.rst b/docs/gettingstarted.rst
index 9e6d80fa..6da1ae41 100644
--- a/docs/gettingstarted.rst
+++ b/docs/gettingstarted.rst
@@ -123,15 +123,15 @@ We start by importing the necessary Flatland libraries
.. code-block:: python
-from flatland.envs.generators import complex_rail_generator
-from flatland.envs.rail_env import RailEnv
+ from flatland.envs.generators import complex_rail_generator
+ from flatland.envs.rail_env import RailEnv
The complex_rail_generator is used in order to guarantee feasible railway network configurations for training.
Next we configure the difficulty of our task by modifying the complex_rail_generator parameters.
.. code-block:: python
-env = RailEnv(width=15,
+ env = RailEnv(width=15,
height=15,
rail_generator=complex_rail_generator(nr_start_goal=10, nr_extra=10, min_dist=10, max_dist=99999, seed=0),
number_of_agents=5)
@@ -145,7 +145,7 @@ cover the whole spectrum from easy to complex tasks.
Once we are set with the environment we can load our preferred agent from either RLlib or any other ressource. Here we use a random agent to illustrate the code.
.. code-block:: python
-agent = RandomAgent(env., 4)
+ agent = RandomAgent(env., 4)
--
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