CS_ALearn/deep-rl-class
1
0
Fork 0
mirror of https://github.com/huggingface/deep-rl-class.git synced 2026-04-13 18:00:45 +08:00
Code Issues Projects Releases Wiki Activity

Update hands-on.mdx

Browse Source
This commit is contained in:
Thomas Simonini
2022-12-19 13:53:38 +01:00
committed by GitHub
parent bcbc168d6b
commit 96b49481da
1 changed files with 9 additions and 1 deletions
Download Patch File Download Diff File Expand all files Collapse all files

10
units/en/unitbonus2/hands-on.mdx
View File

@@ -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,