Research map / Multi-agent systems and games / Human-AI and goal-conditioned
Toward Embodied World Agents via Embodied-Planning Dataset and Interactive World Models
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Proposes an embodied-planning dataset and interactive world models toward general embodied world agents operating across diverse 3D worlds.
Problem
Most embodied agents are confined to specific tasks in a single scene and transfer poorly to new environments; general embodied agents for open-world settings remain under-explored.
Approach
Combines an embodied-planning dataset with interactive world models to build agents that perceive, reason, and act across diverse 3D worlds. Details beyond the abstract are not available.
Closest papers by meaning
- Learning 3D Persistent Embodied World Models (NeurIPS 2025 · similarity 0.92)
- An Embodied Generalist Agent in 3D World (ICML 2024 · similarity 0.90)
- SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning (NeurIPS 2026 · similarity 0.90)
- WorldSimBench: Towards Video Generation Models as World Simulators (ICML 2025 · similarity 0.90)
- COMBO: Compositional World Models for Embodied Multi-Agent Cooperation (ICLR 2025 · similarity 0.89)
- 3D-VLA: A 3D Vision-Language-Action Generative World Model (ICML 2024 · similarity 0.89)
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