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trust-gate is a novel trust decision for reinforcement learning algorithms. The idea is to use trust-gate as the policy to filter out the data failing the learning algorithm and thus accelerating the optimizer. This technique has been formulated as Trust-free Deep Reinforcement Learning. When leveraging Trust-gate, the learning algorithm is equipped with the ability to label data before training; Datasets are then filtered out as they are not trustable. 7211a4ac4a
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