In order to solve the combinative explosion problems in a continuous and high dimensional statespace,a function approximation approach is usually used to represent the state space.The normalized ra-dial basis function...In order to solve the combinative explosion problems in a continuous and high dimensional statespace,a function approximation approach is usually used to represent the state space.The normalized ra-dial basis function(NRBF)was adopted as the local function approximator and a kind of adaptive statespace construction strategy based on the NRBF(ASC-NRBF)was proposed,which enables the system toallocate appropriate number and size of the basis functions automatically.Combined with the reinforce-ment learning method,the proposed ASC-NRBF method was applied to the robot navigation problem.Simulation results illustrate the performance of the proposed method.展开更多
基金the National Natural Science Foundation of China(No50305021)
文摘In order to solve the combinative explosion problems in a continuous and high dimensional statespace,a function approximation approach is usually used to represent the state space.The normalized ra-dial basis function(NRBF)was adopted as the local function approximator and a kind of adaptive statespace construction strategy based on the NRBF(ASC-NRBF)was proposed,which enables the system toallocate appropriate number and size of the basis functions automatically.Combined with the reinforce-ment learning method,the proposed ASC-NRBF method was applied to the robot navigation problem.Simulation results illustrate the performance of the proposed method.
