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Add pointer to DreamerV2
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orybkin authored Jan 17, 2021
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## Planning to Explore via Self-Supervised World Models ##

#### [[Project Website]](https://ramanans1.github.io/plan2explore/) [[Demo Video]](https://youtu.be/GftqnPWsCWw) [[Long Talk]](https://youtu.be/gan79mAVfq8)
#### [[Project Website]](https://ramanans1.github.io/plan2explore/) [[Demo Video]](https://youtu.be/GftqnPWsCWw) [[Long Talk]](https://youtu.be/gan79mAVfq8) [[TF2 version]](https://github.com/danijar/dreamerv2)

[Ramanan Sekar*<sup>1</sup>](https://ramanans1.github.io/), [Oleh Rybkin*<sup>1</sup>](https://www.seas.upenn.edu/~oleh/), [Kostas Daniilidis<sup>1</sup>](http://www.cis.upenn.edu/~kostas/), [Pieter Abbeel<sup>2</sup>](https://people.eecs.berkeley.edu/~pabbeel/), [Danijar Hafner<sup>3,4</sup>](https://danijar.com/), [Deepak Pathak<sup>5,6</sup>](https://www.cs.cmu.edu/~dpathak/)<br/>
(&#42; equal contribution)
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}
```

### TF2 implementation

Please note that a **TensorFlow 2** implementation on the base of Dreamer V2 is now available [here](https://github.com/danijar/dreamerv2). To replicate zero-shot results in the TF2 implementation, run
```
python dreamer.py --logdir logdir/walker_walk/zero_shot --configs defaults dmc --task walker_walk --expl_behavior plan2explore --expl_until 1e6 --steps 1.1e6 --grad_heads: 'image'
```

To replicate few-shot results in the TF2 implementation, run
```
python dreamer.py --logdir logdir/walker_walk/zero_shot --configs defaults dmc --task walker_walk --expl_behavior plan2explore --expl_until 4e6 --steps 4e6 --grad_heads: 'image'
```

### TF1 implementation (this repo)

#### Setting up repository

```Shell
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