From ae37a884ed6e621fec11fb637b528cccc6b5c74b Mon Sep 17 00:00:00 2001
From: Thomas Simonini <simonini.thomas.pro@gmail.com>
Date: Tue, 17 Jan 2023 08:08:58 +0100
Subject: [PATCH] Update advantage-actor-critic.mdx

---
 units/en/unit6/advantage-actor-critic.mdx | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/units/en/unit6/advantage-actor-critic.mdx b/units/en/unit6/advantage-actor-critic.mdx
index f3ed336..398e46f 100644
--- a/units/en/unit6/advantage-actor-critic.mdx
+++ b/units/en/unit6/advantage-actor-critic.mdx
@@ -1,4 +1,5 @@
-# Advantage Actor-Critic (A2C)
+# Advantage Actor-Critic (A2C) [[advantage-actor-critic]]
+
 ## Reducing variance with Actor-Critic methods
 
 The solution to reducing the variance of the Reinforce algorithm and training our agent faster and better is to use a combination of Policy-Based and Value-Based methods: *the Actor-Critic method*.