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cs.LG2026
FIRM-WM: State-factorized factual-interventional recurrent modeling for reward-free visual planning
Yilun Wu, Yunjian Zhang, Aobo Li +3
Reward-free latent world models can learn from offline videos and solve new image--goal tasks by optimizing actions through predicted latent futures. This setting places two demand…
cs.LG2021★ 2 cited
Gradient Normalization for Generative Adversarial Networks
Yi-Lun Wu, Hong-Han Shuai, Zhi-Rui Tam +1
In this paper, we propose a novel normalization method called gradient normalization (GN) to tackle the training instability of Generative Adversarial Networks (GANs) caused by the…