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README.md

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@@ -96,18 +96,18 @@ export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:~/.mujoco/mujoco210/bin
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```
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## Run experiments
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### Pretrain
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Pretrain the model with the following command. Meanwhile there are pre-trained models, you can download them from [here](https://drive.google.com/drive/folders/1lpcShmYoKVt4YMH66JBiA0MhYEV9aEYy?usp=sharing).
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Pretrain the model with the following command. Meanwhile there are pre-trained models, you can download them from [here](https://huggingface.co/LTL07/PSEC).
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```python
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export XLA_PYTHON_CLIENT_PREALLOCATE=False
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CUDA_VISIBLE_DEVICES=0 python launcher/examples/train_pretrain.py --variant 0 --seed 0
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```
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### LoRA finetune
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Train the skill policies with LoRA to achieve skill expansion. Meanwhile there are pre-trained models, you can download them from [here](https://drive.google.com/drive/folders/1lpcShmYoKVt4YMH66JBiA0MhYEV9aEYy?usp=sharing).
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Train the skill policies with LoRA to achieve skill expansion. Meanwhile there are pre-trained models, you can download them from [here](https://huggingface.co/LTL07/PSEC).
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```python
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CUDA_VISIBLE_DEVICES=0 python launcher/examples/train_lora_finetune.py --com_method 0 --model_cls 'LoRALearner' --variant 0 --seed 0
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```
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### Context-aware Composition
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Train the context-aware modular to adaptively leverage different skill knowledge to solve the tasks. You can download the pretrained model and datasets from [here](https://drive.google.com/drive/folders/1lpcShmYoKVt4YMH66JBiA0MhYEV9aEYy?usp=sharing). Then, run the following command,
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Train the context-aware modular to adaptively leverage different skill knowledge to solve the tasks. You can download the pretrained model and datasets from [here](https://huggingface.co/LTL07/PSEC). Then, run the following command,
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```python
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CUDA_VISIBLE_DEVICES=0 python launcher/examples/train_lora_finetune.py --com_method 0 --model_cls 'LoRASLearner' --variant 0 --seed 0
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```

index.html

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</span>
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<span class="link-block">
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<!-- @TODO: change links -->
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<a href="https://drive.google.com/drive/folders/1MqHCZZfpCxMYw0kvqA0LPJEqNYcVbt9f?usp=sharing"
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<a href="https://huggingface.co/datasets/LTL07/PSEC"
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class="external-link button is-normal is-rounded is-dark">
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<span class="icon">
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<p style="font-size:18px">🔗</p>
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</a>
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</span>
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<span class="link-block">
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<a href="https://drive.google.com/drive/folders/15mlUgvA99fVjxgKv1XbOPX9ZGSW_QtO2?usp=sharing"
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<a href="https://huggingface.co/LTL07/PSEC"
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class="external-link button is-normal is-rounded is-dark">
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<span class="icon">
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<img src="./assets/img/model.png">

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