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arXiv 2610.06293 · · 2026-10-05

VepAgent: Bridging Causal-Transition via Tool-Augmented Reinforcement Learning for Video Event Prediction

Qiutong Chen, Yuchan Guo, Zhenlong Yuan, Haobo Yang, Fangfang Lin, Xinyi Long, Yin Wang, Zijian Song and 5 more

UCSC-VLAA

In latest · #209 Added on 2026-10-21

One-line takeaway

VepAgent combines causal-transition reasoning with tool-augmented RL for video event prediction.

VepAgent 把因果转移推理与工具增强强化学习结合,用于预测视频中接下来会发生的事件。

145HF upvotes
–GitHub stars
0Citations (Semantic Scholar)
51.9Buzz score

Read on arXiv PDF Hugging Face discussion

About this data

Metadata from the arXiv API (verified); upvotes from Hugging Face Daily Papers; citations from Semantic Scholar. Last refreshed 2026-10-22.

The takeaway is written by AIMap from the abstract; the abstract itself is not reproduced — read the original.

Data updated: Latest AI papers(UTC+8)