← Back to all news
arXiv Computer Vision By Zhiyang Deng, Boran Zhang, Danze Chen, Yeying Jin

WorldMind: Decoupled Game World Model for State-Aware NPC Behavior

Read the original on arXiv Computer Vision →

WorldMind is a decoupled framework for state-aware NPC behavior in game world models, separating interactive world modeling into four layers: Understanding, Decision, Control, and Generation. It constructs a compact state from generated frames, reasons over it to plan NPC actions, translates actions into temporally aligned conditions, and synthesizes visual outcomes. Experiments on the newly introduced BOSS-140K dataset show that WorldMind achieves more tactically appropriate and coherent NPC behavior than baseline models in about 70% of pairwise comparisons.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Computer Vision.

Related stories

arXiv AI
6d ago

GameWAM: A World Action Model for Video Games

GameWAM is the first World-Action Model designed for native closed-loop gameplay and GUI control in modern video games. It jointly generates future visual observations and executable keyboard-mouse trajectories using parallel visual and action generative processes, block-causal conditioning, and flow matching. The model predicts gameplay/GUI mode at each step, handles heterogeneous native controls, and employs block-cycle control for long-horizon interaction, achieving competitive task success with fewer native actions than prior agents.

By Yuncheng Guo, Zhanqiu Zhang, Yiwen Guo, Weijia Li
agentsdiffusion
More like this →
arXiv AI
Jun 16

Kairos: A Native World Model Stack for Physical AI

arXiv:2606. 16533v1 Announce Type: new Abstract: World models are transitioning from passive visual generators to foundational, operational infrastructure for Physical AI: they must natively acquire world knowledge from heterogeneous experience, maintain persistent states over long horizons, and execute efficiently within real deployment constraints.

By Kairos Team, Fei Wang, Shan You, Qiming Zhang, Tao Huang, Zuoyi Fu, Zhisheng Zheng, Yunlong Xi, Feng Lv, Xiaoming Wu, Zeyu Liu, Cong Wan, Pu Li, Ruiqing Yang, Xiaoou Li, Wei Wang, Kangkang Zhu, Yuwei Zhang, Shi Fu, Xiaoning Wu, Xuzeng Fan, Dacheng Tao, Xiaogang Wang
roboticsbenchmarks
More like this →
arXiv AI
Jun 16

Mind-Studio: Executable World Models with Lookahead Evaluation for Partially Observable Games

arXiv:2606. 16070v1 Announce Type: new Abstract: World-model synthesis aims to turn interaction experience into an internal model of environment dynamics.

By Yifei Dong (Hong Kong University of Science and Technology), Mingen Zheng (Hong Kong University of Science and Technology), Linquan Wu (City University of Hong Kong), Jeff Z. Pan (University of Edinburgh), Jiaxin Bai (Hong Kong Baptist University)
llms
More like this →
arXiv Computation and Language
Aug 27

Code World Model: Coding Agent as World Brain

The paper introduces Code World Model, a framework that decouples world evolution from visual rendering by using a coding agent as a world brain. The agent reasons about events, generates executable code to maintain persistent state, and a proxy representation links this state to a video model for high‑fidelity visual output. Experiments with MiniMax‑H3 show that the system can follow proxy‑based spatiotemporal specifications while preserving rich visual dynamics, illustrating a new approach to open‑ended world modeling.

By Yiwen Chen, Guosheng Lin, Chi Zhang
llmsagentsfine-tuning
More like this →