Giving Advice about Preferred Actions to Reinforcement Learners Via Knowledge-Based Kernel Regression

We present a novel formulation for providing advice to a reinforcement learner that employs support-vector regression as its function approximator. Our new method extends a recent advice-giving technique, called Knowledge-Based Kernel Regression (KBKR), that accepts advice concerning a