eess.SY(2024-03-25)

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支柱二:RL算法与架构 (RL & Architecture) (3) 支柱一:机器人控制 (Robot Control) (3)

🔬 支柱二:RL算法与架构 (RL & Architecture) (3 篇)

#题目一句话要点标签🔗
1 State Space Models as Foundation Models: A Control Theoretic Overview 将状态空间模型作为基础模型以提升序列数据建模能力 Mamba SSM state space model
2 An LLM-Based Digital Twin for Optimizing Human-in-the Loop Systems 提出基于大型语言模型的数字双胞胎以优化人机协作系统 reinforcement learning large language model foundation model
3 Physics-informed RL for Maximal Safety Probability Estimation 提出物理信息强化学习以估计最大安全概率 reinforcement learning reward shaping

🔬 支柱一:机器人控制 (Robot Control) (3 篇)

#题目一句话要点标签🔗
4 A Distributionally Robust Model Predictive Control for Static and Dynamic Uncertainties in Smart Grids 提出WDR-MPC以解决智能电网中的静态与动态不确定性问题 MPC model predictive control
5 Policy Gradient-based Model Free Optimal LQG Control with a Probabilistic Risk Constraint 提出基于策略梯度的无模型最优LQG控制以满足概率风险约束 MPC model predictive control
6 An Optimal Solution to Infinite Horizon Nonholonomic and Discounted Nonlinear Control Problems 提出无限时域非完整系统的最优控制解决方案 MPC

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