DeBERTa vs MuZero
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DeBERTa
DeBERTa (Decoding-enhanced BERT with disentangled attention) is a masked language model developed by Microsoft researchers and introduced in 2020. The architecture improves upon earlier models like BERT and RoBERTa by utilizing a disentangled attention mechanism that separates the representation of content and position. It also employs an enhanced mask decoder to predict masked tokens during pre-t...
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MuZero
MuZero is a reinforcement learning algorithm developed by DeepMind, detailed in a 2020 publication in the journal Nature. It learns to master environments without being provided their rules by simultaneously learning a model of the environment and improving its decision-making policy. MuZero achieved state-of-the-art performance on the Atari benchmark suite and surpassed the previous AlphaZero pro...
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