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Exploration by Uncertainty in Reward Space
There are two policies in this approach, the exploration policy is used for exploratory sampling in the environment, then the benchmark policy try to update by the data proven by the exploration policy.
Open-Category Classification by Adversarial Sample Generation
ASG generates positive and negative samples of seen categories in the unsupervised manner via an adversarial learning strategy.
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