Meta-World

A new arXiv paper (arXiv:2610.11085v1) introduces DaCe-DT, an offline multi-task reinforcement learning framework that combines length-gated prompt masking (LGPM), retrieval-augmented prompt construct…

The Chinese Academy of Sciences' Institute of Artificial Intelligence for Industries released Maxwell, an embodied AI model that scored 91.9 on the Meta-World benchmark for robot physical tasks, the h…

Researchers introduced V-Simba, a visual reinforcement learning architecture built on Soft Actor-Critic (SAC) with data augmentation, which matches or outperforms state-of-the-art methods on the DMC, …

Supervised Reward Inference (SRI) offers a new approach to AI goal understanding by mapping observed behaviors to rewards, outperforming traditional methods in flexibility and accuracy. SRI achieves n…