Partner-Aware Hierarchical Skill Discovery for Robust Human-AI Collaboration 事件

Partner-Aware Hierarchical Skill Discovery for Robust Human-AI Collaboration arXiv:2605.24352v1 Announce Type: new Abstract: Multi-agent collaboration, especially in human-AI teaming, requires agents that can adapt to novel partners with diverse and dynamic behaviors. Conventional Deep Hierarchical Reinforcement Learning (DHRL) methods focus on agent-centric rewards and overlook partner behavior, leading to shortcut learning, where skills exploit spurious information instead of adapting to part