AINeutralarXiv – CS AI · 8h ago6/10
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Latent Goal Prediction from Language for Model-Based Planning
Researchers introduce LAGO, a framework that enables AI agents to plan over long horizons by predicting intermediate goal states from language instructions within a shared latent space. The approach addresses limitations of visual-only and language-only planning methods by dynamically decomposing instructions into locally tractable subgoals, avoiding the compounding prediction errors that plague traditional model-based planning systems.