2 papers
cs.LG2026
OpFlow: Learning Opportunity-Conditioned Choice Potentials for Robust OD Flow Prediction
Changjian Liu, Yong Gao, Yuqing Wang +5
Origin-destination (OD) flow prediction is central to urban analytics, yet deep models trained on raw counts remain vulnerable to distribution shift. The core problem is that raw c…
cs.RO2026
Empowering Multi-Robot Cooperation via Sequential World Models
Zijie Zhao, Honglei Guo, Shengqian Chen +4
Model-based reinforcement learning (MBRL) has achieved remarkable success in robotics due to its high sample efficiency and planning capability. However, extending MBRL to physical…