RLHF
| Definition | Reinforcement Learning from Human Feedback |
|---|---|
| Category | Computing » Artificial Intelligence |
| Country/Region | Worldwide  |
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What does RLHF mean?
Reinforcement Learning from Human Feedback (RLHF) is a type of machine learning method where an agent learns to make decisions by receiving feedback from a human in the form of rewards or punishments.
Note:
An agent is a software or algorithm that is designed to take actions in an environment in order to achieve a specific goal or set of goals.
Frequently Asked Questions
What is the full form of RLHF?
The full form of RLHF is Reinforcement Learning from Human Feedback
What is the full form of RLHF in Computing?
Reinforcement Learning from Human Feedback
What is the full form of RLHF in Worldwide?
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