Author

Ke-Jin Wang

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#artificial intelligence Preprint Oct 2026

Can AI Agents Learn Their Way to the Top? Evaluating Heuristic Learning in a Long-Running Game Agent Competition

Adversarial games have driven advances from heuristic search to reinforcement learning, yet learning and adapting strategies from limited samples remain challenging. AI agents offer an alternative by turning game experience into revisions of executable policies. Building on heuristic learning (HL), we formalize Adversa...

Kai-Sen Yang, Qing-Le Liu, Ke-Jin Wang et al. · 0 citations

Preprint Sep 2026

Transferring the Intelligence of VLMs to Robotic Control

RoboDawn is investigated, a human-intuitive interface that exposes robotic control to an agentic VLM through a compact set of discrete translation, rotation, and gripper commands, and an in-context learning (ICL) scheme is introduced that ground the VLM in both interface usage and task-solving strategies.

Meng-Hao Guo, Zhe-Han Mo, Jia-Jun Wang et al. · 2 citations · ⚡2