active_inference_basic.py 文件源码

def rh_learn_proprio(self, iter_start = 0, iter_end = 1000):
        # hook: load_run_data
        if iter_start == 0 and os.path.exists(self.mdl_pkl):
            print "found trained model at %s, skipping learning and using that" % self.mdl_pkl
            # load data from previous run
            self.load_run_data()
            return

        # current outermost experiment loop
        for i in range(iter_start, iter_end):
            for k, v in self.rh_learn_proprio_hooks.items():
                # print "k = %s, v = %s" % (k, v)
                v(i)

    ################################################################################
    # proprio learning model variant 2 using more of prediction error