eess.SY(2026-02-11)

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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)

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

#题目一句话要点标签🔗
1 Interpretable Attention-Based Multi-Agent PPO for Latency Spike Resolution in 6G RAN Slicing 提出AE-MAPPO,解决6G RAN切片中延迟高峰问题,实现可解释的实时自动化。 reinforcement learning deep reinforcement learning DRL
2 Dynamic Interference Management for TN-NTN Coexistence in the Upper Mid-Band 提出基于PPO的动态干扰管理方案,解决FR3频段TN-NTN共存干扰问题。 reinforcement learning PPO

🔬 支柱一:机器人控制 (Robot Control) (2 篇)

#题目一句话要点标签🔗
3 Multi-UAV Trajectory Optimization for Bearing-Only Localization in GPS Denied Environments 提出一种多无人机协同轨迹优化方法,用于GPS拒止环境下仅方位角定位。 trajectory optimization
4 Trajectory-based data-driven predictive control and the state-space predictor 提出基于状态空间预测器的轨迹预测控制,提升数据驱动预测控制性能 model predictive control

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