Reinforcement learning from human feedback: Revision history

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28 April 2023

  • curprev 14:2514:25, 28 April 2023‎ RobowaifuDev talk contribs‎ 1,454 bytes +1,454‎ Created page with "'''Reinforcement learning from human feedback''' ('''RLHF''') is a subfield of reinforcement learning (RL) that trains agents using human feedback as reinforcement signals. In RL, agents interact with an environment, collect rewards or punishments based on actions taken and adjust their behavior to maximize rewards. However, designing accurate reward functions or annotating sufficient data for this purpose is difficult in many real-world scenarios. RLHF addresses th..."
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