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# Contrastive Intrinsic Control (CIC)

This is the official codebase for [CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery](https://arxiv.org/abs/2202.00161). If you find this codebase useful to your research you can cite it as:

```
@misc{laskin2022cic,
Author = {Michael Laskin and Hao Liu and Xue Bin Peng and Denis Yarats and Aravind Rajeswaran and Pieter Abbeel},
Title = {CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery},
Year = {2022},
Eprint = {arXiv:2202.00161},
}
```

This codebase is built on top of the [Unsupervised Reinforcement Learning Benchmark (URLB) codebase](https://anonymous.4open.science/r/urlb). We include agents for all baselines in the `agents` folder. Our method `CIC` is implemented in `agents/cic.py` and the config is specified in `agents/cic.yaml`.

To pre-train CIC, run the following command:
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