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.gitattributes

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README.md

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+<div align="center">
+  <img src="logo.svg" alt="RLinf-logo" width="500"/>
+</div>
+
+
+<div align="center">
+<a href="https://github.com/RLinf/RLinf"><img src="https://img.shields.io/badge/Github-blue"></a>
+<a href="https://rlinf.readthedocs.io/en/latest/"><img src="https://img.shields.io/badge/Documentation-Purple?color=8A2BE2&logo=readthedocs"></a>
+</div>
+
+<h1 align="center">RLinf: Reinforcement Learning Infrastructure for Agentic AI</h1>
+
+[RLinf](https://github.com/RLinf/RLinf) is a flexible and scalable open-source infrastructure designed for post-training foundation models (LLMs, VLMs, VLAs) via reinforcement learning. The 'inf' in RLinf stands for Infrastructure, highlighting its role as a robust backbone for next-generation training. It also stands for Infinite, symbolizing the system’s support for open-ended learning, continuous generalization, and limitless possibilities in intelligence development.
+
+
+<div align="center">
+  <img src="overview.png" alt="RLinf-overview" width="600"/>
+</div>
+
+## Model Description
+This repository provides a PyTorch ResNet-10 pretrained checkpoint, converted from the original JAX implementation released by the [SeRL](https://github.com/rail-berkeley/serl) project.  
+The original JAX weights can be found here:  
+https://github.com/rail-berkeley/serl/releases/download/resnet10/resnet10_params.pkl
+
+Within RLinf, this checkpoint is used as the pretrained CNN ResNet encoder for real-world embodied learning experiments.
+
+## How to Use
+Please integrate the provided model with the [RLinf](https://github.com/RLinf/RLinf) codebase. To do so, modify the ``extra_config.pretrained_ckpt_path`` as the path for this model in the configuration file ``examples/embodiment/config/model/cnn_policy.yaml``.
+
+## License
+This code repository and the model weights are licensed under the MIT License.

resnet10_pretrained.pt

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