Imitation Learning: A New Approach in Artificial Life Animation
模仿学习:一种新人工生命动画方法

This paper proposes a new artificial life animation approach—imitation learning.Imitation is a highly effective learning method for acquiring motion skill which can be regarded as a set of numerous motion sequences.Imitating representative motion sequences to acquire the local motion skill and generalizing them can achieve the entire motion skill.The cores of imitation learning are motion similarity and simple-compose behavior methodology,and evolutionary computation is used as an optimization method.Imitation learning decreases the dependence of evolutionary computation on traditional fitness function and the time spent on designing a suitable fitness function.It also increases the ability of optimizing complex goal.So it increases the effciency of producing animation.We verify our method by training an artificial cat robot to learn landing behavior based on PhysX simulation framework,which achieves a good result.