arXiv Game AI· Giulia Benintendi·· 4 d agoAI score33
Paper proposes MATE, using a joint-attention mechanism to improve multi-agent zero-shot coordination
Grounded Joint-Attention Other-Play for Zero-Shot Coordination
AI summary
The paper proposes MATE (Mutual Attention for zero-shot TEaming), a multi-agent reinforcement learning method inspired by human joint attention that lets agents align visual attention on salient objects in the scene during interaction, so they can coordinate zero-shot with unfamiliar partners.
Source: arXiv Game AI · arxiv.org