🌐 Entity
Reinforcement learning from human feedback
Machine learning technique
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🏷️ Keywords
Curriculum-DPO (1) · Text-to-image generation (1) · Direct Preference Optimization (1) · Reinforcement learning from human feedback (1) · Preference optimization (1) · AI alignment (1) · Generative AI (1)
📖 Key Information
In machine learning, reinforcement learning from human feedback (RLHF) is a technique to align an intelligent agent with human preferences. It involves training a reward model to represent preferences, which can then be used to train other models through reinforcement learning.
In classical reinforcement learning, an intelligent agent's goal is to learn a function that guides its behavior, called a policy.
📰 Related News (1)
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🇺🇸 Curriculum-DPO++: Direct Preference Optimization via Data and Model Curricula for Text-to-Image Generation
arXiv:2602.13055v1 Announce Type: cross Abstract: Direct Preference Optimization (DPO) has been proposed as an effective and efficient alternative to...
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