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It explores how Decision Transformer, a variant of the Transformer model, can be utilized for reinforcement learning tasks. The article highlights the benefits and potential applications of Decision Transformer, including its ability to handle sequential decision-making problems and improve performance in complex environments. It provides insights into the architecture and training process of Decision Transformer, showcasing its potential for transforming decision-making processes in various domains.
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