摘要
由一名新闻记者-机器人与机器学习每日新闻编辑-调查人员讨论机器人学的新发现。根据NewsRx记者在深圳发布的新闻报道，研究表明：“将基于规则的策略集成到强化学习中可以提高合作追踪问题中的数据效率和泛化能力。然而，大多数实现都没有明确区分相邻机器人在嵌入机器人间交互规则的观察中的影响，导致信息丢失和合作效率低下。”
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators discuss new findings in Robotics. According to news reporting originating in Shenzhen, People’s Republic of China, by NewsRx journalists, research stated, “Integrating rule-based polic ies into reinforcement learning promises to improve data efficiency and generali zation in cooperative pursuit problems. However, most implementations do not pro perly distinguish the influence of neighboring robots in observation embedding o r inter-robot interaction rules, leading to information loss and inefficient coo peration.”
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