v1.0.4; slope_thre: 0.7->2.0
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@@ -67,7 +67,7 @@ The trained model above was evaluated using the [RoboGauge](https://github.com/w
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| [HIM](https://github.com/InternRobotics/HIMLoco) | 0.5379 | 0.5453 | 0.6476 | 0.6050 | 6.19 | [ckpt](https://drive.google.com/file/d/1remJbGoTorqnArsz8Z1ewY4TVobss4Fb/view?usp=drive_link) |
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| [DreamWaQ](https://arxiv.org/abs/2301.10602) | 0.5054 | 0.5105 | 0.6149 | 0.5730 | 5.74 | [ckpt](https://drive.google.com/file/d/19BEBeiQqjHcPgGrN3AX6D7Yefs_8eswL/view?usp=drive_link) |
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> In the downloaded ckpt files, `*.pt` is used for [Python deployment](#41-python-deployment), and `*.onnx` is used for [C++ deployment](#42-c-deployment). The models above were all trained with self-collision disabled. In later tests, we found that enabling self-collision can also achieve strong results; see [go2_moe_cts_self_0.6669 - ckpt](https://drive.google.com/drive/folders/1znytqHNtDiZM5J4vaBd-EuM81l91D6s5?usp=drive_link).
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> In the downloaded ckpt files, `*.pt` is used for [Python deployment](#41-python-deployment), and `*.onnx` is used for [C++ deployment](#42-c-deployment). The models above were all trained with self-collision disabled. In later tests, we found that enabling self-collision can also achieve strong results; see [go2_moe_cts_164k_0.6715 - exported](https://drive.google.com/drive/folders/1w8ctwb77PE7wDnlC-XYY1CSh39e4IQmT?usp=drive_link) with [complete model weights - model_164000.pt](https://drive.google.com/file/d/1mwQywpM6UpzZWzHOD_MMxWqgFKLr5UZw/view?usp=drive_link).
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### 2. Play
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