Method for planning combined tasks for virtual human

The invention provides a method for planning combined tasks for virtual human. The method includes: step 1, setting up a behavior map of the virtual human on basis of motion capture data; step 2, finding a key state and decomposing combined tasks into sub-tasks on basis of the key state; step 3, learning optimal control strategies of each sub-task; and step 4, computing an optimal action sequence of the combined tasks on basis of an initial state of the virtual human in the environment. By the method for planning combined tasks for virtual human, computing time and storage spaces required in the action planning process can be reduced, and a planning algorithm can be converged to the optimal control strategies by probability one without any assumption of shapes of value functions of a controller.