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pre-release 0.10.0
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benchmarks/ddpg_her/README.md
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# DDPG with Hindsight Experience Replay
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Each experiment uses 3 seeds.
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The parameters used for DDPG HER are the same parameters as described in the [following paper](https://arxiv.org/abs/1802.09464).
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### Fetch Reach DDPG HER - single worker
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```bash
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python3 coach.py -p Fetch_DDPG_HER_baselines -lvl reach
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```
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<img src="fetch_ddpg_her_reach_1_worker.png" alt="Fetch DDPG HER Reach 1 Worker" width="800"/>
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### Fetch Push DDPG HER - 8 workers
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```bash
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python3 coach.py -p Fetch_DDPG_HER_baselines -lvl push -n 8
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```
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<img src="fetch_ddpg_her_push_8_workers.png" alt="Fetch DDPG HER Push 8 Worker" width="800"/>
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### Fetch Slide DDPG HER - 8 workers
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```bash
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python3 coach.py -p Fetch_DDPG_HER_baselines -lvl slide -n 8
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```
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<img src="fetch_ddpg_her_slide_8_workers.png" alt="Fetch DDPG HER Slide 8 Worker" width="800"/>
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### Fetch Pick And Place DDPG HER - 8 workers
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```bash
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python3 coach.py -p Fetch_DDPG_HER -lvl pick_and_place -n 8
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```
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<img src="fetch_ddpg_her_pick_and_place_8_workers.png" alt="Fetch DDPG HER Pick And Place 8 Workers" width="800"/>
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