Comments (1)
Hi,
Thanks for your interest. Previously we conducted the experiments in a foreign server which is not available now. Sorry for the inconvenience. But we have two suggestions for your issue.
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The performance maybe affected by different local environments. We use a language auxiliary loss to regularize the attention weight. Empirically, we find the loss weight (--LWeight and --AWeight) will make the performance a bit change when ranging from 0.5 to 2.0.
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The agent takes a long time to converge, and sufficient training steps may be helpful. The machine we used has the limitation of two days in one trial, so we often train the model in a "resume" manner.
Thanks again.
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