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title: README
emoji: 馃摎
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colorTo: pink
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AceAction Research
Learning to Act in Interactive Worlds.
AceAction is a research initiative exploring how intelligent agents understand goals, perceive dynamic environments, and translate intentions into actions. Our interests span vision-language-action (VLA) learning, action-conditioned world modeling, and long-horizon decision-making in interactive 3D worlds.
馃搫 Papers
AceAction-5M 路 arXiv 2026
Hierarchical Goals for Generalist Action Learning Across 3D Game Worlds
A multi-game action-learning dataset with hierarchically structured goals, subgoals, and skills across 42 games and over 5 million annotated episodes.
3A-VLA 路 NeurIPS 2026
Abstraction-Aligned Action Learning for Vision-Language Agents in 3D Game Worlds