Vector Database
Machine Learning
A function that estimates the long-term cumulative reward an agent can expect to receive from a given state or state-action pair.
Detailed Explanation
A value function in machine learning estimates the expected total reward an agent can achieve starting from a specific state or by taking a particular action, considering future rewards. It guides decision-making in reinforcement learning by helping the agent identify the most beneficial actions, thereby optimizing its policy to maximize cumulative rewards over time.
Use Cases
- •Use case: An AI agent uses a value function to select actions that maximize long-term rewards in game playing.
Related Terms
Other terms in the Machine Learning category