Reinforcement Learning information for Autonomous Marine Data Collection
收藏DataCite Commons2026-04-30 更新2026-05-05 收录
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资源简介：
Autonomous data collection using Unmanned Surface Vehicles is crucial for applications such as marine ranching but remains challenging in uncertain ocean environments. This study proposes the Risk-Adaptive Implicit Quantile Network, a brain-inspired framework integrating distributional reinforcement learning with dynamic risk regulation.
提供机构：
Science Data Bank
创建时间：
2026-04-24
