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Lusong Li

2 papers indexed

arxivcs.LG2026-07-04

CDCP: Conditional Diffusion Model with Contextual Prompts for Multi-task Offline Safe Reinforcement Learning

Jiayi Guan, Tianle Zhang, Li Shen, Ruiqi Zhang, Ao Zhou, Lusong Li, et al.

Multi-task offline safe reinforcement learning (RL) promises to learn a shared optimal safe policy from offline data across multiple tasks. This paradigm provides an effective means for the widespread application of RL in multi-task scenarios with high risk and interaction costs.…

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arxivcs.CV2026-06-25

Not All Actions Are Equal: Rethinking Conditioning for Dexterous World Model

Zizhao Yuan, Zhengtu Liang, Taowen Wang, Qiwei Liang, Yichi Wang, Yunheng Wang, et al.

Recent advances in action-conditioned world models show promising progress in modeling complex interactions and forecasting future states under diverse action sequences. While these models are often driven by stronger visual representations and model capacity, action conditioning…

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