Inactions are chosen according to their value functions, which describe how much future reward is:

The correct answer is B. reinforcement learning models.

In reinforcement learning, inactions (or actions) are chosen based on the value functions, which predict the expected future rewards associated with those actions. These models help in understanding how an agent should behave in an environment to maximize cumulative rewards over time. If you have more questions about this topic, feel free to ask!