awesome-RLHF
A curated list of reinforcement learning with human feedback resources (continually updated)
GraphCanon updated 4d · GitHub synced 4d
Decision brief
awesome-RLHF is a curated resource list focusing on reinforcement learning with human feedback (RLHF), which is crucial for refining large language models through interactive training methods.
Good fit when
- When you are specifically interested in the resources that pertain to enhancing reinforcement learning algorithms with human feedback for developing advanced AI systems.
Avoid when
- If your focus is exclusively on generic deep-learning or reinforcement-learning resources without the aspect of integrating human feedback into the training process.
Observed Jul 12, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Steady (89d since push)
- As of 4d
- Provenance
- Not a fork · Organization account
- As of 4d
- Security (OSV)
- No lockfile
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
git clone https://github.com/opendilab/awesome-RLHFHow it fits your stack(4)
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Provides a comprehensive list of resources focused on reinforcement learning enhanced with human feedback, relevant for developing and refining large language models through interactive training methods.
Capability facts
No sourced capability facts yet. Facts appear after ingest scans repo manifests (Dockerfile, package.json, MCP configs).
Categories
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README
License
Awesome RLHF is released under the Apache 2.0 license.
For agents
This page has a .md twin and JSON over the API.