...Yucong Wu; Song Wang; Yang Pan; Zhicheng He; Xiaokun Leng Purpose This paper aims to tackle the challenges of high dimensionality, strong nonlinearity and tight coupling in motion control for the Kuavo humanoid robot by introducing a novel method based on inverse reinforcement learning (IRL...

... decision-making ability. Design/methodology/approach The combination of inverse reinforcement learning (IRL) algorithm and generative adversarial network can effectively reduce the dependence on expert samples and robots can obtain the decision-making performance that the degree of optimization...