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# Dreamer-v3 Pytorch
Pytorch implementation of [Mastering Diverse Domains through World Models](https://arxiv.org/abs/2301.04104v1)
![image_walker_walk](https://user-images.githubusercontent.com/70328564/218313056-c1158a7d-10f3-4052-b19d-6d642ee4850b.gif)
# dreamerv3-torch
Pytorch implementation of [Mastering Diverse Domains through World Models](https://arxiv.org/abs/2301.04104v1).\
Validation is in progress.
![results](https://user-images.githubusercontent.com/70328564/219830515-263a3630-50d8-4c6e-83ad-571122b3716a.png)
## Instructions
Get dependencies:
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```
tensorboard --logdir $ABSOLUTEPATH_TO_SAVE_LOG
```
## Evaluation Results
work-in-progress
![Fig](https://user-images.githubusercontent.com/70328564/218313252-3d42193a-a7c4-4fd1-bd0a-df4f4f5787d5.png)
## Awesome Environments used for testing:
- Deepmind control suite: https://github.com/deepmind/dm_control
- will be added soon
## Acknowledgments
This code is heavily inspired by the following works: