väärtusfunktsiooniga

väärtusfunktsiooniga is an Estonian term that translates to "with a value function" or "having a value function." In the context of mathematics and computer science, particularly in reinforcement learning and decision theory, a value function is a fundamental concept used to quantify the desirability of states or state-action pairs.

A value function assigns a numerical value to each state of an environment or to each action taken in a particular state. This value typically represents the expected future reward that an agent can anticipate receiving from that point onward, assuming a certain policy is followed. There are two primary types of value functions: state-value functions and action-value functions (also known as Q-functions).

A state-value function, often denoted as V(s), estimates the expected cumulative future reward starting from state 's' and following a particular policy. An action-value function, denoted as Q(s, a), estimates the expected cumulative future reward starting from state 's', taking action 'a', and then following a particular policy.

The concept of a value function is crucial for agents to learn optimal behaviors. By estimating and comparing the values of different states or actions, an agent can make informed decisions about how to act in order to maximize its long-term rewards. Algorithms like value iteration and policy iteration are designed to compute or approximate these value functions. The presence of "väärtusfunktsiooniga" in a technical context implies that a value function is either being utilized, discussed, or is a characteristic of the system or process being described.