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Add comment about warmup phase
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@ -526,6 +526,8 @@ class BaseRLModel(object):
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self.actor.reset_noise()
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# Select action randomly or according to policy
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# TODO: use action from policy when using SDE during the warmup phase?
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# if num_timesteps < learning_starts and not self.use_sde:
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if num_timesteps < learning_starts:
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# Warmup phase
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unscaled_action = np.array([self.action_space.sample()])
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