Meta-World

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…