Author

Hesong Wang

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Preprint Oct 2026

REA: A Routed Embodied Agent Runtime for Asynchronous Brain-Cerebellum Control

Foundation models are becoming remarkably reliable at high-level reasoning, yet they remain too slow and costly to serve as fine-grained controllers. Conversely, fast policies like VLAs and whole-body controllers offer more efficient reflexes, but struggle to generalize. While pairing a deliberative brain (foundation m...

P. Zhou, Yi-Xin Ma, Zhengfeiyang Zhang et al. · 0 citations

#artificial intelligence Preprint Oct 2026

The Trinity:Capability-Driven Recursive Self-Improvement for Multimodal Agents

The Trinity is introduced, a recursive self-improvement framework coupling world generation with Harness evolution through three roles: Creator, Explorer, and Evolver, which introduces Capability-Driven Real2Sim2Real: for heterogeneous tasks at the same node, Creator abstracts their common requirements into simplified,...

Wei-Dong Tang, Rui-Heng Wang, Jing-Xuan Zhang et al. · 0 citations

Preprint Aug 2026

Agentic Game Development as a Verifiable Trajectory Data Engine for Scaling World Models

This work proposes Reinforcement Learning with Human-Engine Verification (RLHEV), a post-training paradigm that combines dense engine signals with implicit human acceptance feedback from the development process to support RL post-training.

P. Zhou, Hesong Wang, Zhengfeiyang Zhang et al. · 1 citation