AINeutralarXiv – CS AI · 7h ago6/10
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Agentic Environment Engineering for Large Language Models: A Survey of Environment Modeling, Synthesis, Evaluation, and Application
This arXiv paper presents a comprehensive survey of agentic environments for large language models, systematizing research across modeling, synthesis, evaluation, and application. The work proposes frameworks for environment engineering, automated synthesis methods (symbolic and neural), and identifies four evolutionary pathways for agent-environment co-evolution, establishing foundational concepts for developing more capable AI agents.