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values = self.sess.run(run_list, feed_dict=feed_dict) |
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run_out = dict(zip(run_list, values)) |
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self.stats['value_estimate'].append(run_out[self.model.value].mean()) |
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self.stats['entropy'].append(run_out[self.model.entropy]) |
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self.stats['entropy'].append(run_out[self.model.entropy].mean()) |
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self.stats['learning_rate'].append(run_out[self.model.learning_rate]) |
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if self.use_recurrent: |
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return (run_out[self.model.output], |
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