From 96b49481da920a4b72c93153bd7c386fe765b513 Mon Sep 17 00:00:00 2001 From: Thomas Simonini Date: Mon, 19 Dec 2022 13:53:38 +0100 Subject: [PATCH] Update hands-on.mdx --- units/en/unitbonus2/hands-on.mdx | 10 +++++++++- 1 file changed, 9 insertions(+), 1 deletion(-) diff --git a/units/en/unitbonus2/hands-on.mdx b/units/en/unitbonus2/hands-on.mdx index ac942a5..4130e38 100644 --- a/units/en/unitbonus2/hands-on.mdx +++ b/units/en/unitbonus2/hands-on.mdx @@ -1,3 +1,11 @@ # Hands-on [[hands-on]] -Now that you've learned to use Optuna, **why not going back to our Deep Q-Learning hands-on and implement Optuna to find the best training hyperparameters?** +Now that you've learned to use Optuna, we give you some ideas to apply what you've learned: + +1️⃣ **Beat your LunarLander-v2 agent results**, by using Optuna to find a better set of hyperparameters. You can also try with another environment, such as MountainCar-v0 and CartPole-v1. + +2️⃣ **Beat your SpaceInvaders agent results**. + +By doing that, you're going to see how Optuna is valuable and powerful in training better agents, + +Have fun,