Reward Functions to Optimize
		• Discounted cumulative reward: – Vp(st) =  rt + grt+1 + g2rt+2 + …      = Sumi=0à¥(girt+i) • Finite horizon reward: – Vp(st) =  rt + rt+1 + rt+2 + … + rt+h      = Sumi=0àh(rt+i) • Average reward: – Vp(st) =  rt + rt+1 + rt+2 + … + rt+h      = limhà¥(Sumi=0àh(rt+i))/h • Assume discounted cumulative reward chosen as goal.