基于多任务强化学习的地形自适应模仿学习方法OA北大核心CSTPCD

Terrain adaptive ability is the basis for the stable movement of agents under complex terrain conditions.Due to the complexity of the dynamical systems of these agents,such as humanoid robots,it is usually difficult for traditional inverse dynamics methods to have such ability.Recent research has used the advantages of reinforcement learning in solving sequential decision-making problems to train agents to adapt to terrain.However,these single-task learning …查看全部>>