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Identifiable Token Correspondence for World Models
提出一种可识别token对应方法用于世界模型，强化智能体对环境结构的泛化理解
arXiv:2605.16457v1 Announce Type: new Abstract: Transformer-based world models have shown strong performance in visual reinforcement learning, but oft…