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
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
Analysis of reward scale
Analysis of n step
Analysis of tau