From 419968cc7bdb22b48797a97ba21b1d10a4aaf6ab Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Furkan=20=C3=87elik?= Date: Wed, 17 Jun 2020 01:58:57 +0300 Subject: [PATCH] Fixed a typo on ML-Agents-Overview.md Fixed redundant "to" word from the sentence since it is probably a typo in document. From: Imagine training the medic to to scale a wall to arrive at a wounded team member. To: Imagine training the medic to scale a wall to arrive at a wounded team member. --- docs/ML-Agents-Overview.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/ML-Agents-Overview.md b/docs/ML-Agents-Overview.md index 28ce8485db..a7e9b187ab 100644 --- a/docs/ML-Agents-Overview.md +++ b/docs/ML-Agents-Overview.md @@ -569,7 +569,7 @@ for later lessons. The same principle can be applied to machine learning, where training on easier tasks can provide a scaffolding for harder tasks in the future. -Imagine training the medic to to scale a wall to arrive at a wounded team +Imagine training the medic to scale a wall to arrive at a wounded team member. The starting point when training a medic to accomplish this task will be a random policy. That starting policy will have the medic running in circles, and will likely never, or very rarely scale the wall properly to revive their