Large sequence models for sequential decision-making

Credit: MUNING WEN, RUNJI LIN, HANJING WANG, YAODONG YANG, YING WEN, LUO MAI, JUN WANG, HAIFENG ZHANG, WEINAN ZHANG

Transformer architectures, like GPT-3 and Swin Transformer, show promise in addressing challenges in sequential decision-making and reinforcement learning.

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