Jointly Pre-training with Supervised, Autoencoder, and Value Losses for Deep Reinforcement Learning.
作者： Matthew E. Taylor , Gabriel Victor de la Cruz , Yunshu Du
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摘要: Deep Reinforcement Learning (DRL) algorithms are known to be data inefficient. One reason is that a DRL agent learns both the feature and the policy tabula rasa. Integrating …
arxiv.org参考文章(34)
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