Plan-and-Patch: Diffusion Language Models for Agentic Planning
Planning is increasingly important for long-horizon agents, where successful execution requires coordinating subgoals, tool use, and intermediate outcomes over many steps. Yet assumptions made during planning may be invalidated by the environment, tools may return unexpected…
AI Summary & Key Takeaways
- Planning is increasingly important for long-horizon agents, where successful execution requires coordinating subgoals, tool use, and intermediate outcomes over many steps
- Yet assumptions made during planning may be invalidated by the environment, tools may return unexpected…
Plan-and-Patch: Diffusion Language Models for Agentic Planning
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