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支柱二:RL算法与架构 (RL & Architecture) (2) 支柱一:机器人控制 (Robot Control) (2 🔗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-Objective-Optimization Multi-AUV Assisted Data Collection Framework for IoUT Based on Offline Reinforcement Learning 提出基于离线强化学习的多AUV协同IoUT数据收集框架,优化数据传输与能耗。 reinforcement learning offline RL offline reinforcement learning
2 Physical Informed-Inspired Deep Reinforcement Learning Based Bi-Level Programming for Microgrid Scheduling 提出基于物理信息深度强化学习的双层规划微网调度模型,协调运营者和用户利益 reinforcement learning deep reinforcement learning DRL

🔬 支柱一:机器人控制 (Robot Control) (2 篇)

#题目一句话要点标签🔗
3 PD-Based and SINDy Nonlinear Dynamics Identification of UAVs for MPC Design 结合PD控制与SINDy算法,实现无人机非线性动力学辨识与模型预测控制 MPC model predictive control
4 pycvxset: A Python package for convex set manipulation 提出pycvxset以实现凸集的高效操作与可视化 manipulation

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