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pre-release 0.10.0

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Gal Novik
2018-08-13 17:11:34 +03:00
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# Dueling DDQN
Each experiment uses 3 seeds and is trained for 10k environment steps.
The parameters used for Dueling DDQN are the same parameters as described in the [original paper](https://arxiv.org/abs/1706.01502).
### Breakout Dueling DDQN - single worker
```bash
python3 coach.py -p Atari_Dueling_DDQN -lvl breakout
```
<img src="breakout_dueling_ddqn.png" alt="Breakout Dueling DDQN" width="800"/>

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