Author

Andrew Choi

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#artificial intelligence May 2026

RankQ: Offline-to-Online Reinforcement Learning via Self-Supervised Action Ranking

RankQ, an offline-to-online Q-learning objective that augments temporal-difference learning with a self-supervised multi-term ranking loss to enforce structured action ordering is proposed, which shapes the Q-function such that action gradients are directed toward higher-quality behaviors.

Andrew Choi, Wei Xu · arXiv.org · 2 citations

Jul 2026

EmbodiedGen V2: An Agentic, Simulation-Ready 3D World Engine for Embodied AI

EmbodiedGen V2 is established as scalable simulation infrastructure for training, evaluating, and deploying embodied policies, and is established as a generative, editable, and reusable simulation pipeline.

Xin-Jie Wang, Liu Liu, Taojun Ding et al. · arXiv.org · 3 citations