| # Constrained Initial Representations |
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| This is the pre-trained policy model weights for our novel method, Constrained Initial Representations (CIR). |
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| The results are grouped into each environment and seed. One can directly load the policy weights from the corresponding directory |
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| One can find our papers [here](https://arxiv.org/pdf/2602.11800) |
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| # Citation |
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| If you find our work interesting or use our work in your paper, please consider citing our paper: |
| ``` |
| @article{lyu2026temporal, |
| title={Temporal Difference Learning with Constrained Initial Representations}, |
| author={Lyu, Jiafei and Yang, Jingwen and Qiao, Zhongjian and Liu, Runze and Liu, Zeyuan and Ye, Deheng and Lu, Zongqing and Li, Xiu}, |
| journal={arXiv preprint arXiv:2602.11800}, |
| year={2026} |
| } |
| ``` |
