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*.