eess.SY(2025-09-10)

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支柱二:RL算法与架构 (RL & Architecture) (2) 支柱九:具身大模型 (Embodied Foundation Models) (1)

🔬 支柱二:RL算法与架构 (RL & Architecture) (2 篇)

#题目一句话要点标签🔗
1 Multi-Agent Inverse Reinforcement Learning for Identifying Pareto-Efficient Coordination -- A Distributionally Robust Approach 提出一种分布鲁棒的多智能体逆强化学习方法,用于识别帕累托有效协调行为 reinforcement learning inverse reinforcement learning
2 Game-Theoretic Resilience Framework for Cyber-Physical Microgrids using Multi-Agent Reinforcement Learning 提出基于多智能体强化学习的博弈论韧性框架,增强网络物理微电网的抗攻击能力 reinforcement learning

🔬 支柱九:具身大模型 (Embodied Foundation Models) (1 篇)

#题目一句话要点标签🔗
3 Universal Graph Learning for Power System Reconfigurations: Transfer Across Topology Variations 提出通用图学习网络UGCN,实现电力系统重构的跨拓扑迁移学习 zero-shot transfer

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