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Ervin T
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Fix spelling error in documentation (#2636)
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docs/Training-PPO.md

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@@ -241,7 +241,7 @@ To use pretraining, add a `pretraining` section to the trainer_config. For insta
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steps: 10000
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```
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Below are the avaliable hyperparameters for pretraining.
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Below are the available hyperparameters for pretraining.
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### Strength
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docs/Training-SAC.md

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@@ -256,7 +256,7 @@ To use pretraining, add a `pretraining` section to the trainer_config. For insta
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steps: 10000
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```
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Below are the avaliable hyperparameters for pretraining.
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Below are the available hyperparameters for pretraining.
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### Strength
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@@ -316,7 +316,7 @@ long to decrease, `init_entcoef` should be adjusted.
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This corresponds to how random the decisions of a Brain are. This should
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initially increase during training, reach a peak, and should decline along
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with the Entropy Coefficient. This is because in the beginning, the agent is
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incentivised to be more random for exploration due to a high entropy coefficient.
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incentivized to be more random for exploration due to a high entropy coefficient.
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If it decreases too soon or takes too long to decrease, `init_entcoef` should be adjusted.
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### Learning Rate
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### Policy Loss
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These values may increase as the agent explores, but should decrease longterm
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These values may increase as the agent explores, but should decrease long-term
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as the agent learns how to solve the task.
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### Value Estimate

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