2 papers
cs.RO2026
The Curse of Precision: A Data Scaling Law for High-Precision Robotic Manipulation
Cuijie Xu, Yuanfan Xu, Min Xue +5
While scaling laws for imitation learning have primarily focused on generalization in open-world settings, the relationship between data and precision in closed-world tasks like ro…
cs.LG2025
Efficient Reinforcement Learning for Zero-Shot Coordination in Evolving Games
Bingyu Hui, Lebin Yu, Quanming Yao +3
Zero-shot coordination(ZSC), a key challenge in multi-agent game theory, has become a hot topic in reinforcement learning (RL) research recently, especially in complex evolving gam…