eess.SY(2025-03-28)

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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) (1)

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

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1 Markov Potential Game Construction and Multi-Agent Reinforcement Learning with Applications to Autonomous Driving 提出马尔可夫势博弈构造方法,并应用于自动驾驶多智能体强化学习 reinforcement learning reward design
2 Reinforcement learning for efficient and robust multi-setpoint and multi-trajectory tracking in bioprocesses 提出基于强化学习的生物过程多目标点和多轨迹高效鲁棒跟踪方法 reinforcement learning

🔬 支柱一:机器人控制 (Robot Control) (1 篇)

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3 Multi-stage model predictive control for slug flow crystallizers using uncertainty-aware surrogate models 针对段塞流结晶器,提出基于不确定性感知代理模型的多阶段模型预测控制方法 model predictive control

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