Author

Cheng-Yang He

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Preprint Sep 2026

SMaRT-Tug: Structured Multi-Agent Reinforcement Learning for Physics-Based Tugboat-Barge Collaborative Manipulation

Autonomous tugboating is central for automating maritime operations such as port logistics and vessel maneuvering, where multiple tugboats must cooperatively transport/manipulate a larger vessel. Collaborative pushing in this setting is challenging due to coupled hydrodynamics, low resistance, strong environmental dist...

Jun-Kai Lu, Jia-Dong Zhao, Jia-Cheng Zhang et al. · 0 citations

#artificial intelligence Preprint Sep 2026

RoboFoundry: System-as-Policy Evolution for Self-Learning Embodied Agents

RoboFoundry is proposed, the first embodied agentic framework that formulates this process of system-as-policy evolution across foundation models as Self-Evolving System-as-Policy, highlighting its potential for fully autonomous embodied agents.

Jing-Song Liang, Shu-Hao Liao, Shi-Zhe Zhang et al. · 0 citations

Preprint Aug 2026

PRIMAL3: Pathfinding via Reinforcement and Imitation Multi-Agent Learning - Leveraging LaCAM3

We present PRIMAL3, an ultra-large-scale learning-based framework for multi-agent pathfinding (MAPF) that integrates reinforcement learning, topology-aware communication, LaCAM3-guided training, and PIBT-based action refinement. PRIMAL3 targets failures at topologically critical states, where agents must coordinate dec...

Cheng-Yang He, T. Duhan, Gadiel Sznaier Camps et al. · 1 citation