You can substitute "utility" for "reward", if you prefer. Reinforcement learning is a fairly general framework, except for its insistence on a scalar reward signal. If you talk to RL folk about the need for multiple reward signals, they say that sticking that information in the sensory channels is mathematically equivalent - which is kinda true.