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--- |
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license: "mit" |
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datasets: |
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- robomimic |
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- Push-T |
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arxiv: 2307.01849 |
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tags: |
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- robotics |
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- diffusion |
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- self-supervised learning |
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- behaviour-cloning |
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- diffusion policy |
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--- |
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# Crossway Diffusion: Improving Diffusion-based Visuomotor Policy via Self-supervised Learning |
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This is the checkpoint release of the [ICRA'24](https://2024.ieee-icra.org/) paper [Crossway Diffusion: Improving Diffusion-based Visuomotor Policy via Self-supervised Learning](https://arxiv.org/abs/2307.01849). |
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This repo contains: |
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- Pretrained models (500 epochs): `./checkpoints/crossway_diffusion-<task>-s<seed>.ckpt` |
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- SHA1 checksums: `./checkpoints/crossway_diffusion-<task>-s<seed>.ckpt.sha1` |
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- Evaluation results (1000 episodes): `./checkpoints/crossway_diffusion-<task>-s<seed>.ckpt.json` |
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Available tasks: `can_mh`, `can_ph`, `lift_mh`, `lift_ph`, `square_mh`, `square_ph`, `transport_mh`, `transport_ph`, `tool_hang_ph`, `pusht` |
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Available seeds: `42`, `43`, `44` |
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Please replace `<task>` with a specific task name and replace `<seed>` with `42`, `43`, or `44` to navigate the repo. |
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For example, the path of pretrained model for task Push-T trained on seed 42 is `./checkpoints/crossway_diffusion-pusht-s42.ckpt` |
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For the training and evaluation code, please visit our [github repo](https://github.com/LostXine/crossway_diffusion). |
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Watch [🎬 video presentation](https://youtu.be/9deKHueZBuk)! |
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For questions, please raise a [github issue](https://github.com/LostXine/crossway_diffusion/issues). |
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