Fix malformed metadata in tutorial ipynb.
},
"source": [
"# Acme: Quickstart\n",
- "# \u003cdiv align=\"left\"\u003e[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/deepmind/acme/colabs/quickstart.ipynb)\u003c/div\u003e\n",
+ "# \u003cdiv align=\"left\"\u003e[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/deepmind/acme/examples/tutorial.ipynb)\u003c/div\u003e\n",
"\n",
"This colab provides an overview of how Acme's modules can be stacked together to create reinforcement learning agents. It shows how to fit networks to environment specs, create actors, learners, replay buffers, datasets, adders, and full agents. It also highlights where you can swap out certain modules to create your own Acme based agents. "
]
"VEEj3Qw60y73",
"c-H2d6UZi7Sf"
],
- "name": "Acme: Quickstart",
+ "name": "Acme: Tutorial"
},
"kernelspec": {
"display_name": "Python 3",
