Mem-World: Memory-Augmented Action-Conditioned World Models for Persistent Robot Manipulation

Zirui Zheng, Jiaqian Yu, Xiongfeng Peng +7

Action-conditioned world models have emerged as a promising paradigm for robot learning, offering a scalable alternative to costly real-world experimentation by generating action-c…