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Merge pull request #181 from huggingface/ThomasSimonini/HuggyLink

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Update Huggy Link
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Thomas Simonini
2023-01-07 15:39:14 +01:00
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parent 84051c47d5 a0c05aac1a
commit 25b82cb1f1
5 changed files with 6 additions and 6 deletions
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4
notebooks/bonus-unit1/bonus-unit1.ipynb
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@@ -509,7 +509,7 @@
"\n",
"This step is the simplest:\n",
"\n",
"- Open the game Huggy in your browser: https://huggingface.co/spaces/ThomasSimonini/Huggy\n",
"- Open the game Huggy in your browser: https://singularite.itch.io/huggy\n",
"\n",
"- Click on Play with my Huggy model\n",
"\n",
@@ -569,4 +569,4 @@
},
"nbformat": 4,
"nbformat_minor": 0
}
}

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units/en/unit0/introduction.mdx
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@@ -23,7 +23,7 @@ In this course, you will:
- 📖 Study Deep Reinforcement Learning in **theory and practice.**
- 🧑‍💻 Learn to **use famous Deep RL libraries** such as [Stable Baselines3](https://stable-baselines3.readthedocs.io/en/master/), [RL Baselines3 Zoo](https://github.com/DLR-RM/rl-baselines3-zoo), [Sample Factory](https://samplefactory.dev/) and [CleanRL](https://github.com/vwxyzjn/cleanrl).
- 🤖 **Train agents in unique environments** such as [SnowballFight](https://huggingface.co/spaces/ThomasSimonini/SnowballFight), [Huggy the Doggo 🐶](https://huggingface.co/spaces/ThomasSimonini/Huggy), [VizDoom (Doom)](https://vizdoom.cs.put.edu.pl/) and classical ones such as [Space Invaders](https://www.gymlibrary.dev/environments/atari/), [PyBullet](https://pybullet.org/wordpress/) and more.
- 🤖 **Train agents in unique environments** such as [SnowballFight](https://huggingface.co/spaces/ThomasSimonini/SnowballFight), [Huggy the Doggo 🐶](https://singularite.itch.io/huggy), [VizDoom (Doom)](https://vizdoom.cs.put.edu.pl/) and classical ones such as [Space Invaders](https://www.gymlibrary.dev/environments/atari/), [PyBullet](https://pybullet.org/wordpress/) and more.
- 💾 Share your **trained agents with one line of code to the Hub** and also download powerful agents from the community.
- 🏆 Participate in challenges where you will **evaluate your agents against other teams. You'll also get to play against the agents you'll train.**

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units/en/unitbonus1/introduction.mdx
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@@ -1,6 +1,6 @@
# Introduction [[introduction]]
In this bonus unit, we'll reinforce what we learned in the first unit by teaching Huggy the Dog to fetch the stick and then [play with him directly in your browser](https://huggingface.co/spaces/ThomasSimonini/Huggy) 🐶
In this bonus unit, we'll reinforce what we learned in the first unit by teaching Huggy the Dog to fetch the stick and then [play with him directly in your browser](https://singularite.itch.io/huggy) 🐶
<img src="https://huggingface.co/datasets/huggingface-deep-rl-course/course-images/resolve/main/en/unit2/thumbnail.png" alt="Unit bonus 1 thumbnail" width="100%">

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units/en/unitbonus1/play.mdx
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@@ -4,7 +4,7 @@ Now that you've trained Huggy and pushed it to the Hub. **You will be able to pl
For this step it’s simple:
- Open the game Huggy in your browser: https://huggingface.co/spaces/ThomasSimonini/Huggy
- Open the game Huggy in your browser: https://singularite.itch.io/huggy
- Click on Play with my Huggy model

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units/en/unitbonus1/train.mdx
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@@ -236,7 +236,7 @@ But now comes the best: **being able to play with Huggy online 👀.**
This step is the simplest:
- Open the game Huggy in your browser: https://huggingface.co/spaces/ThomasSimonini/Huggy
- Open the game Huggy in your browser: https://singularite.itch.io/huggy
- Click on Play with my Huggy model