4 citations · 7 across the 11 of their papers we have counts for
Showing cs.AIShow all
2 papers · 1 filter
cs.AI2026
Scaling Scientific Discovery Environments for Turn-Level Agentic RL
Yucheng Xu, Keyi Zhang, Yuyang Yu +4
Large language model agents have shown promising capabilities in data-driven scientific discovery tasks, where an agent interacts with an execution environment and produces a stati…
cs.AI2024
FACTS: A Factored State-Space Framework For World Modelling
Li Nanbo, Firas Laakom, Yucheng Xu +2
World modelling is essential for understanding and predicting the dynamics of complex systems by learning both spatial and temporal dependencies. However, current frameworks, such…