#model-based-planning News & Analysis

2 articles tagged with #model-based-planning. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles

AINeutralarXiv – CS AI · Jun 236/10

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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.

AINeutralarXiv – CS AI · Jun 95/10

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PRISM: PRior-guided Imagination Sampling in world Models

PRISM is a new framework for world model-based planning that uses a lightweight neural network to extract action priors from the same dataset and model representations, improving robotic control performance by 32-35 percentage points without additional architectural complexity. The method integrates state-conditioned confidence into sampling distributions through a closed-form probabilistic update, enabling more effective candidate action generation.