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Update RL docs for better sharing / adding models (#1563)
* init docs update * style * fix bad colab formatting, add pipeline comment * update todo
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@@ -14,7 +14,8 @@ specific language governing permissions and limitations under the License.
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Diffusers is in the process of expanding to modalities other than images.
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Currently, one example is for [molecule conformation](https://www.nature.com/subjects/molecular-conformation#:~:text=Definition,to%20changes%20in%20their%20environment.) generation.
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* Generate conformations in Colab [](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/geodiff_molecule_conformation.ipynb)
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Example type | Colab | Pipeline |
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:-------------------------:|:-------------------------:|:-------------------------:|
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[Molecule conformation](https://www.nature.com/subjects/molecular-conformation#:~:text=Definition,to%20changes%20in%20their%20environment.) generation | [](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/geodiff_molecule_conformation.ipynb) | ❌
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More coming soon!
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@@ -13,6 +13,13 @@ specific language governing permissions and limitations under the License.
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# Using Diffusers for reinforcement learning
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Support for one RL model and related pipelines is included in the `experimental` source of diffusers.
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More models and examples coming soon!
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To try some of this in colab, please look at the following example:
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* Model-based reinforcement learning on Colab [](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/reinforcement_learning_with_diffusers.ipynb) 
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# Diffuser Value-guided Planning
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You can run the model from [*Planning with Diffusion for Flexible Behavior Synthesis*](https://arxiv.org/abs/2205.09991) with Diffusers.
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The script is located in the [RL Examples](https://github.com/huggingface/diffusers/tree/main/examples/rl) folder.
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Or, run this example in Colab [](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/reinforcement_learning_with_diffusers.ipynb)
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[[autodoc]] diffusers.experimental.ValueGuidedRLPipeline
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