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bug fix - preventing crashes when the probability of one of the actions is 0 in the policy head
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@@ -121,7 +121,7 @@ class ActorCriticAgent(PolicyOptimizationAgent):
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else:
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action = np.argmax(action_probabilities)
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action_info = {"action_probability": action_probabilities[action], "state_value": state_value}
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self.entropy.add_sample(-np.sum(action_probabilities * np.log(action_probabilities)))
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self.entropy.add_sample(-np.sum(action_probabilities * np.log(action_probabilities + eps)))
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else:
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# CONTINUOUS
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state_value, action_values_mean, action_values_std = self.main_network.online_network.predict(observation)
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