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Guangtang Pan, Qingxuan Jia, Gang Chen, Tong Li and Chuankai Liu
To meet the control requirements of high precision and high robustness for peg-in-hole assembly tasks, an optimized control method for a peg-in-hole assembly task of a space manipulator is proposed to reduce the system disturbance caused by the change co...
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Yang Sun, Yun Li, Wei Xiong, Zhonghua Yao, Krishna Moniz and Ahmed Zahir
Using Pareto optimization in Multi-Objective Reinforcement Learning (MORL) leads to better learning results for network defense games. This is particularly useful for network security agents, who must often balance several goals when choosing what action...
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