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Fix typo in comment (#690)
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reinforcement_learning/actor_critic.py

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@@ -63,7 +63,7 @@ def forward(self, x):
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# critic: evaluates being in the state s_t
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state_values = self.value_head(x)
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# return values for both actor and critic as a tupel of 2 values:
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# return values for both actor and critic as a tuple of 2 values:
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# 1. a list with the probability of each action over the action space
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# 2. the value from state s_t
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return action_prob, state_values

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