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pre-release 0.10.0
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benchmarks/dueling_ddqn/README.md
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benchmarks/dueling_ddqn/README.md
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# Dueling DDQN
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Each experiment uses 3 seeds and is trained for 10k environment steps.
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The parameters used for Dueling DDQN are the same parameters as described in the [original paper](https://arxiv.org/abs/1706.01502).
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### Breakout Dueling DDQN - single worker
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```bash
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python3 coach.py -p Atari_Dueling_DDQN -lvl breakout
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```
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<img src="breakout_dueling_ddqn.png" alt="Breakout Dueling DDQN" width="800"/>
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benchmarks/dueling_ddqn/breakout_dueling_ddqn.png
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