AI RESEARCH
Agentic Planning with Reasoning for Image Styling via Offline RL
arXiv CS.LG
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ArXi:2603.07148v1 Announce Type: new Direct prompt-based editing often fails on complex transformations because vague and subjective prompts often require nuanced understanding of what should be changed in the image. Our core intuition is that leveraging compositional image editing tools rather than direct prompting profits from structured agent-level planning with explicit reasoning, leading to better results. This structured planning framework enables efficient offline RL post-