الباحثون

Jiangran Lyu

المنشورات 2

نسخة أولية وصول مفتوح

AgentGarten: Code Worlds for Evolving Agents

Jiawei Chi, Shangchen Miao, Zhiyuan Shi وآخرون · 2026

Interactive virtual worlds allow agents to learn through exploration and interaction. What agents can learn is bounded by the environments they practice in, which must be faithful, with consistent state, rules, and dynamics, and realistic, with observations that follow the real-world visual distributions. Achieving bot …

نسخة أولية وصول مفتوح

DualWAM: Dual-System World Action Models for Asynchronous Global Planning and Local Refinement

Yixin Zheng, Jiangran Lyu, Yuntian Deng وآخرون · 2026

World Action Models (WAMs) jointly generate robot actions and predict future world states, transferring priors from video pretraining to robot control. However, future visual prediction is computationally expensive, so existing WAMs often rely on long action chunks to amortize inference cost across control steps, at th …

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