引用本概念的论文(3)
- 一项关于轻量级博弈智能体何以强大的金标准研究 A Gold-Standard Study of What Makes a Lightweight Game-Playing Agent Strong arXiv 2607.06854
- AlphaZero 在稀疏奖励博弈中的研究:局限性与辅助监督 AlphaZero in Sparsely Rewarded Games: Limits and Auxiliary Supervision arXiv 2607.08984
- 基于竞争性多智能体强化学习的携网无人机拦截敏捷目标方法 Intercepting an Agile Target with Net-Carrying Drones using Competitive Multi-Agent Reinforcement Learning arXiv 2607.05939