From 593e66ab6b7ce3f3b9e942c556a93d66391fa42e Mon Sep 17 00:00:00 2001
From: UTpH <UTpH@users.noreply.github.com>
Date: Tue, 16 Oct 2018 00:52:44 -0400
Subject: [PATCH] Added David Silver's RL course (#19362)

Added link to a very good RL course
Updated the broken Suggested readings link
---
 .../english/machine-learning/reinforcement-learning/index.md | 5 ++++-
 1 file changed, 4 insertions(+), 1 deletion(-)

diff --git a/client/src/pages/guide/english/machine-learning/reinforcement-learning/index.md b/client/src/pages/guide/english/machine-learning/reinforcement-learning/index.md
index a30381d30d..475f928095 100644
--- a/client/src/pages/guide/english/machine-learning/reinforcement-learning/index.md
+++ b/client/src/pages/guide/english/machine-learning/reinforcement-learning/index.md
@@ -4,7 +4,7 @@ title: Reinforcement Learning
 #### Suggested Reading:
 <!-- Please add any articles you think might be helpful to read before writing the article -->
 
-- http://incompleteideas.net/sutton/book/the-book-2nd.html
+- [Reinforcement Learning: An Introduction](http://incompleteideas.net/book/the-book-2nd.html)
 
 #### Reinforcement Learning
 <!-- Please add your working draft below in GitHub-flavored Markdown -->
@@ -26,3 +26,6 @@ Deep Adversarial Networks
 ## Use cases:
 Some applications of the reinforcement learning algorithms are computer played board games (Chess, Go), robotic hands, and self-driving cars.
 
+## More information:
+* [David Silver's RL course](http://www0.cs.ucl.ac.uk/staff/d.silver/web/Teaching.html)
+