Reinforcement Learning LLM
Model AIO:ReinforcementLearningLLM NOT_REVIEWED
A large language model that is fine-tuned using reinforcement learning where the model receives rewards for generating text that satisfies certain desired properties or objectives improving the quality safety or alignment of generated text.
Ontology IRI:
https://w3id.org/aio/ReinforcementLearningLLM
Ontology Structure & Relationships
Parent Classes
Branches
Annotations & Sources
Synonyms:
- RL-Large Language Model exact
- Reinforcement Learning Large Language Model exact
- decision transformers related
- reward modeling related
Subsets:
https://w3id.org/aio/ModelSubset
Curated AIMech Concepts Grounded to this Class
1 Concept| Curated Concept | Kind | Mapping Relation | Rationale |
|---|---|---|---|
Direct preference optimization
AIMech:DirectPreferenceOptimization |
Algorithms | related_match | DPO is motivated by preference-based language-model alignment but its derived training objective does not require the separate RL optimization loop described for conventional RLHF. |
Import Provenance & Upstream Synchronization
Source Repo: AIO GitHub
Release Version:
aio.jsonCommit:
397851c547…License: CC-BY-4.0
Imported At: 2026-10-10T07:34:10Z
SHA256:
8f741d71408c…
Source File:
data/aio/ReinforcementLearningLLM.yaml