Tao Lu

CoRe achieves preference-aligned reinforcement learning by seamlessly integrating human-like reward decomposition, outperforming traditional methods in both simulated and real-world environments.

Finally, a volumetric video representation that plays nice with existing video codecs, enabling efficient streaming without sacrificing quality.