Analysis of SAC hyperparameters
For each environment, we sample 1000 different configurations of hyperparameters at random, and report statistics over the configurations.
Success rate learning curves
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Hyperparameters influence breakdown
For each hyperparameter, we aggregate all configurations for each
possible value of the hyperparameter and compute the following statistic:
the average of final success rate for the top 50% of configurations (since poorly performing configurations are uninformative). Some
plot bars are "missing", it is because the success rate is 0 for all configurations.
Analysis of learning rate
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Analysis of reward scale
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Analysis of n step
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Analysis of tau
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