The authors developed VideoGen-Agent, a multimodal agent that combines a large language model with vision capabilities to use external tools for video generation.
Reinforcement learning trains video AI agents to use external tools effectively
VideoGen-Agent coordinates augmentation, generation and verification tools through multi-turn interactions, boosting benchmark scores by 19 points without retraining the underlying video model.
Top University
Binxu Li · Haoyi Duan · Yuhui Zhang · Yaohui Zhang · Zihao Lin · Kaituo Feng · +6 more
Princeton University · Stanford University · UC Davis · MMLab, CUHK · Independent
Research Digest··3 min read
Thread:RL for Tool Agents
The authors present VideoGen-Agent, a multimodal agent trained via multitask agentic reinforcement learning to orchestrate external tools for video generation.
Why this paper
From Princeton University and 6 others
In one line
A multimodal agent trained via multitask reinforcement learning coordinates external tools to improve video generation quality and accuracy.
What we could check
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