Application Research on RoboCup 3D Agent Walking Using Improved HEDGER Algorithm

RoboCup 3D simulation provides continuous states and action space. HEDGER is a learning algorithm based on Q-learning which can working on continuous states and action space. For the inefficient of its searching algorithm, we improve it with Kd-tree multi-dimensional space searching technology to solve the problem of the online learning of robot walking.