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ahmad-alismail
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a2c-PandaReachDense-v2

Reinforcement Learning
stable-baselines3
PandaReachDense-v2
deep-reinforcement-learning
Eval Results (legacy)
Model card Files
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Update README.md

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@@ -30,9 +30,9 @@ using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines
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  ```python
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  # 4
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- policy = "MultiInputPolicy",
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- learning_rate=0.001,
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- gamma=0.95,
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- time_steps=1_00_000
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  ...
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  ```
 
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  ```python
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  # 4
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+ policy = "MultiInputPolicy"
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+ learning_rate=0.001
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+ gamma=0.95
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+ time_steps=100000
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  ...
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  ```