mirror of
https://github.com/huggingface/deep-rl-class.git
synced 2026-02-03 02:14:53 +08:00
fix gym library link
This commit is contained in:
rram12
@@ -3,8 +3,8 @@
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "view-in-github",
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"colab_type": "text"
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"colab_type": "text",
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"id": "view-in-github"
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},
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"source": [
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"<a href=\"https://colab.research.google.com/github/huggingface/deep-rl-class/blob/main/unit1/unit1.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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@@ -24,7 +24,7 @@
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"❓ If you have questions, please post them on #study-group-unit1 discord channel 👉 https://discord.gg/aYka4Yhff9\n",
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"\n",
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"\n",
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"🎮 Environment: [LunarLander-v2](https://www.gymlibrary.ml/environments/box2d/lunar_lander/)\n",
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"🎮 Environment: [LunarLander-v2](https://www.gymlibrary.dev/environments/box2d/lunar_lander/)\n",
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"\n",
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"📚 RL-Library: [Stable-Baselines3](https://stable-baselines3.readthedocs.io/en/master/)\n",
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"\n",
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@@ -395,8 +395,8 @@
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},
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"source": [
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"### Step 4: Create the LunarLander environment 🌛 and understand how it works\n",
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"#### [The environment 🎮](https://www.gymlibrary.ml/environments/box2d/lunar_lander/)\n",
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"In this first tutorial, we’re going to train our agent, a [Lunar Lander](https://www.gymlibrary.ml/environments/box2d/lunar_lander/), **to land correctly on the moon**. To do that, the agent needs to learn **to adapt its speed and position(horizontal, vertical, and angular) to land correctly.**\n",
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"#### [The environment 🎮](https://www.gymlibrary.dev/environments/box2d/lunar_lander/)\n",
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"In this first tutorial, we’re going to train our agent, a [Lunar Lander](https://www.gymlibrary.dev/environments/box2d/lunar_lander/), **to land correctly on the moon**. To do that, the agent needs to learn **to adapt its speed and position(horizontal, vertical, and angular) to land correctly.**\n",
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"\n",
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"\n",
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"---\n",
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@@ -404,7 +404,7 @@
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"\n",
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"💡 A good habit when you start to use an environment is to check its documentation \n",
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"\n",
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"👉 https://www.gymlibrary.ml/environments/box2d/lunar_lander/\n",
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"👉 https://www.gymlibrary.dev/environments/box2d/lunar_lander/\n",
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"\n",
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"---\n"
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]
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@@ -1068,23 +1068,23 @@
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},
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{
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"cell_type": "markdown",
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"source": [
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"If you have a runtime bug `RuntimeError: imageio.ffmpeg.download() has been deprecated. Use 'pip install imageio-ffmpeg' instead.'` here please install this package and click on restart button after the installation"
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],
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"metadata": {
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"id": "XAq_Fosen9Z7"
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}
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},
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"source": [
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"If you have a runtime bug `RuntimeError: imageio.ffmpeg.download() has been deprecated. Use 'pip install imageio-ffmpeg' instead.'` here please install this package and click on restart button after the installation"
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]
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},
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{
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"cell_type": "code",
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"source": [
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"!pip install imageio==2.4.1"
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],
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"execution_count": null,
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"metadata": {
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"id": "3wmUjb5LoCiK"
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},
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"execution_count": null,
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"outputs": []
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"outputs": [],
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"source": [
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"!pip install imageio==2.4.1"
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]
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},
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{
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"cell_type": "code",
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@@ -1126,7 +1126,7 @@
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"\n",
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"**Compare the results of your LunarLander-v2 with your classmates** using the [leaderboard](https://huggingface.co/spaces/huggingface-projects/Deep-Reinforcement-Learning-Leaderboard) 🏆\n",
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"\n",
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"Is moon landing too boring to you? Try to **change the environment**, why not using CartPole-v1, MountainCar-v0 or CarRacing-v0? Check how they works [using the gym documentation](https://www.gymlibrary.ml/) and have fun 🎉."
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"Is moon landing too boring to you? Try to **change the environment**, why not using CartPole-v1, MountainCar-v0 or CarRacing-v0? Check how they works [using the gym documentation](https://www.gymlibrary.dev/) and have fun 🎉."
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]
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},
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{
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@@ -1177,10 +1177,10 @@
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"accelerator": "GPU",
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"colab": {
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"collapsed_sections": [],
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"include_colab_link": true,
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"name": "Copie de Unit 1: Train your first Deep Reinforcement Learning Agent 🚀.ipynb",
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"private_outputs": true,
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"provenance": [],
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"include_colab_link": true
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"provenance": []
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},
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"gpuClass": "standard",
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"kernelspec": {
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@@ -1193,4 +1193,4 @@
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},
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"nbformat": 4,
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"nbformat_minor": 0
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}
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}
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@@ -4,8 +4,8 @@ In this Unit, we're going to dive deeper into one of the Reinforcement Learning
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We'll also implement our **first RL agent from scratch**: a Q-Learning agent and will train it in two environments:
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- [Frozen-Lake-v1 ⛄ (non-slippery version)](https://www.gymlibrary.ml/environments/toy_text/frozen_lake/): where our agent will need to go from the starting state (S) to the goal state (G) by walking only on frozen tiles (F) and avoiding holes (H).
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- [An autonomous taxi 🚕](https://www.gymlibrary.ml/environments/toy_text/taxi/?highlight=taxi) will need to learn to navigate a city to transport its passengers from point A to point B.
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- [Frozen-Lake-v1 ⛄ (non-slippery version)](https://www.gymlibrary.dev/environments/toy_text/frozen_lake/): where our agent will need to go from the starting state (S) to the goal state (G) by walking only on frozen tiles (F) and avoiding holes (H).
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- [An autonomous taxi 🚕](https://www.gymlibrary.dev/environments/toy_text/taxi/?highlight=taxi) will need to learn to navigate a city to transport its passengers from point A to point B.
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<img src="assets/img/envs.gif" alt="unit 2 environments"/>
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@@ -23,8 +23,8 @@
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"❓ If you have questions, please post them on #study-group-unit2 discord channel 👉 https://discord.gg/aYka4Yhff9\n",
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"\n",
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"🎮 Environments: \n",
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"- [FrozenLake-v1](https://www.gymlibrary.ml/environments/toy_text/frozen_lake/)\n",
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"- [Taxi-v3](https://www.gymlibrary.ml/environments/toy_text/taxi/)\n",
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"- [FrozenLake-v1](https://www.gymlibrary.dev/environments/toy_text/frozen_lake/)\n",
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"- [Taxi-v3](https://www.gymlibrary.dev/environments/toy_text/taxi/)\n",
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"\n",
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"📚 RL-Library: Python and Numpy\n",
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"\n",
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@@ -276,12 +276,12 @@
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"id": "NAvihuHdy9tw"
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},
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"source": [
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"### Step 1: Create and understand [FrozenLake environment ⛄]((https://www.gymlibrary.ml/environments/toy_text/frozen_lake/)\n",
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"### Step 1: Create and understand [FrozenLake environment ⛄]((https://www.gymlibrary.dev/environments/toy_text/frozen_lake/)\n",
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"---\n",
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"\n",
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"💡 A good habit when you start to use an environment is to check its documentation \n",
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"\n",
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"👉 https://www.gymlibrary.ml/environments/toy_text/frozen_lake/\n",
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"👉 https://www.gymlibrary.dev/environments/toy_text/frozen_lake/\n",
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"\n",
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"---\n",
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"\n",
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@@ -923,7 +923,7 @@
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"source": [
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"### Step 10: Evaluate our Q-Learning agent 📈\n",
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"- Normally you should have mean reward of 1.0\n",
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"- It's relatively easy since the state space is really small (16). What you can try to do is [to replace with the slippery version](https://www.gymlibrary.ml/environments/toy_text/frozen_lake/)."
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"- It's relatively easy since the state space is really small (16). What you can try to do is [to replace with the slippery version](https://www.gymlibrary.dev/environments/toy_text/frozen_lake/)."
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]
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},
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{
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@@ -1321,12 +1321,12 @@
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"source": [
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"# Part 2: Taxi-v3 🚖\n",
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"\n",
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"### Step 1: Create and understand [Taxi-v3 🚕](https://www.gymlibrary.ml/environments/toy_text/taxi/)\n",
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"### Step 1: Create and understand [Taxi-v3 🚕](https://www.gymlibrary.dev/environments/toy_text/taxi/)\n",
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"---\n",
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"\n",
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"💡 A good habit when you start to use an environment is to check its documentation \n",
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"\n",
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"👉 https://www.gymlibrary.ml/environments/toy_text/taxi/\n",
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"👉 https://www.gymlibrary.dev/environments/toy_text/taxi/\n",
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"\n",
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"---\n",
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"\n",
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@@ -1717,7 +1717,7 @@
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"* Try different hyperparameters by looking at what your classmates have done.\n",
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"* **Push your new trained model** on the Hub 🔥\n",
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"\n",
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"Are walking on ice and driving taxis too boring to you? Try to **change the environment**, why not using FrozenLake-v1 slippery version? Check how they work [using the gym documentation](https://www.gymlibrary.ml/) and have fun 🎉."
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"Are walking on ice and driving taxis too boring to you? Try to **change the environment**, why not using FrozenLake-v1 slippery version? Check how they work [using the gym documentation](https://www.gymlibrary.dev/) and have fun 🎉."
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]
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},
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{
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