Gathering human feedback
OpenAI open-sources RL-Teacher: training AI via human feedback instead of hand-coded rewards.
Why it matters
This represents a foundational shift in how AI systems are trained—moving from brittle reward functions to scalable human-in-the-loop learning. This technique became core to modern LLM alignment and RLHF pipelines that power today's frontier models.
The key facts
9 to knowRL-Teacher is open-source implementation
Trains AI via occasional human feedback rather than hand-crafted reward functions
Developed as step towards safe AI systems
Applies to reinforcement learning problems with hard-to-specify rewards
Published August 2017 (foundational work predating modern RLHF at scale)
RL-Teacher is open-source
Technique uses occasional human feedback instead of hand-crafted reward functions
Developed as step toward safe AI systems
Published August 2017 — foundational work predating modern RLHF
Go to the source
OpenAI Blogopenai.com
Publisher excerpt: RL-Teacher is an open-source implementation of our interface to train AIs via occasional human feedback rather than hand-crafted reward functions. The underlying technique was developed as a step towards safe AI systems, but also applies to reinforcement learning problems with rewards that are hard…