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README.md
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@@ -22,8 +22,8 @@ This course is **self-paced** you can start when you want 🥳.
| 📆 Publishing date | 📘 Unit | 👩‍💻 Hands-on |
|---------------|----------------------------------------------------------|----------------------------------------------------------------------------------------------------------|
| Published 🥳 | [An Introduction to Deep Reinforcement Learning](https://github.com/huggingface/deep-rl-class/tree/main/unit1) | [Train a Deep Reinforcement Learning lander agent to land correctly on the Moon 🌕 using Stable-Baselines3](https://github.com/huggingface/deep-rl-class/blob/main/unit1/unit1.ipynb) |
| May, the 11th | Bonus | 🎁 it's a surprise 🎁 |
| [Published 🥳](https://github.com/huggingface/deep-rl-class/tree/main/unit1#unit-1-introduction-to-deep-reinforcement-learning) | [An Introduction to Deep Reinforcement Learning](https://github.com/huggingface/deep-rl-class/tree/main/unit1) | [Train a Deep Reinforcement Learning lander agent to land correctly on the Moon 🌕 using Stable-Baselines3](https://github.com/huggingface/deep-rl-class/blob/main/unit1/unit1.ipynb) |
| May, the 11th | [Bonus](https://discord.com/channels/879548962464493619/968114737655214080/973937495546925056) | |
| May, the 18th | Q-Learning | Train an agent to cross a Frozen lake in this new version of the environment. |
| June, the 1st | Deep Q-Learning and improvements | Train a Deep Q-Learning agent to play Space Invaders |
| | Policy-based methods | 🏗️ |

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unit1/README.md
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@@ -37,7 +37,7 @@ Are you new to Discord? Check our **discord 101 to get the best practices** 👉
The hands-on 👉 [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/huggingface/deep-rl-class/blob/main/unit1/unit1.ipynb)
The leaderboard 👉 https://huggingface.co/spaces/ThomasSimonini/Lunar-Lander-Leaderboard
The leaderboard 👉 https://huggingface.co/spaces/chrisjay/Deep-Reinforcement-Learning-Leaderboard
You can work directly **with the colab notebook, which allows you not to have to install everything on your machine (and it’s free)**.

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unit1/unit1.ipynb
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@@ -17,7 +17,7 @@
},
"source": [
"# Unit 1: Train your first Deep Reinforcement Learning Agent 🚀\n",
"In this notebook, you'll train your first lander agent to ****land correctly on the Moon 🌕 share it to the community, and experiment with different configurations**\n",
"In this notebook, you'll train your first lander agent to **land correctly on the Moon 🌕 share it to the community, and experiment with different configurations**\n",
"\n",
"❓ If you have questions, please post them on #study-group-unit1 discord channel 👉 https://discord.gg/aYka4Yhff9\n",
"\n",