{"version":"1.0","type":"rich","provider_name":"gaks.ai AI Glossary","provider_url":"https://gaks.ai/glossary","title":"Value Function — AI Glossary","author_name":"Glenn Katrud Solheim","author_url":"https://gaks.ai","width":600,"height":200,"html":"

AI Glossary — gaks.ai

Value Function

In reinforcement learning, a function that estimates the expected cumulative future reward an agent can obtain from a given state, or from taking a specific action in a given state. Value functions allow agents to plan ahead by evaluating not just the immediate reward of an action but its long-term consequences, and are central to most RL algorithms.

Source: gaks.ai/glossary/value-function →
"}