ENT-00001810 · Reinforcement Learning Method

Proximal Policy Optimization

Proximal Policy Optimization is a policy optimization algorithm associated with OpenAI.

Level IV — ConnectedActiveConnected

Human readable record

Overview

Proximal Policy Optimization is a documented AI model or assistant-related entity associated with OpenAI. The record focuses on its public identity, release context, capability class, source lineage and relationship to adjacent model or product families.

Timeline

2017Proximal Policy Optimization public documentation anchor
Proximal Policy Optimization appears in public documentation or stable reference sources as a policy optimization algorithm associated with OpenAI.

Capabilities

Technical methodModel designResearch reference

Known limitations

The record describes the public identity and documented role of the entity, not private implementation details.Capabilities depend on version, deployment context, access conditions and the available public documentation.

Technical and registry detail

Technical description

Structured record for Proximal Policy Optimization. The technical layer identifies entity type, classification, creator or organization, public source anchors, timeline entry, capabilities, limitations, registry status and graph relationships. Source anchor: https://arxiv.org/abs/1707.06347.

Controlled tags

AI ArchitectureMethodResearch System

Relationship graph

Proximal Policy Optimization

Associated organizationOpenAI

Proximal Policy Optimization is associated with OpenAI through its documented source context.

Machine readable layer

Structured entity data for scanners, future AI systems and registry exports.

{
    "@context": "https://schema.org",
    "@type": "Thing",
    "identifier": "ENT-00001810",
    "name": "Proximal Policy Optimization",
    "alternateName": [],
    "additionalType": "Reinforcement Learning Method",
    "description": "Proximal Policy Optimization is a policy optimization algorithm associated with OpenAI.",
    "creator": "OpenAI",
    "url": "entity.php?id=ENT-00001810",
    "sameAs": "https://arxiv.org/abs/1707.06347",
    "lxkeysWorld": {
        "classification": "policy optimization algorithm",
        "organization": "OpenAI",
        "originContext": "Public AI and technical record",
        "firstPublicAppearance": "2017",
        "currentStatus": "Active",
        "registryStatus": "Connected",
        "spatiumIndex": {
            "total": 74,
            "documentation": 25,
            "evidence": 13,
            "structure": 25,
            "relationships": 11,
            "level": "Level IV — Connected"
        },
        "lxCalendarium": {
            "start_date_utc": "2023-04-01",
            "created_utc": "2026-06-16T23:59:28+00:00",
            "created_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3",
            "updated_utc": "2026-06-16T23:59:28+00:00",
            "updated_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3",
            "reviewed_utc": "2026-06-16T23:59:28+00:00",
            "reviewed_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3"
        },
        "capabilities": [
            "Technical method",
            "Model design",
            "Research reference"
        ],
        "limitations": [
            "The record describes the public identity and documented role of the entity, not private implementation details.",
            "Capabilities depend on version, deployment context, access conditions and the available public documentation."
        ],
        "tags": [
            "AI Architecture",
            "Method",
            "Research System"
        ],
        "timeline": [
            {
                "date": "2017",
                "title": "Proximal Policy Optimization public documentation anchor",
                "description": "Proximal Policy Optimization appears in public documentation or stable reference sources as a policy optimization algorithm associated with OpenAI."
            }
        ],
        "relationships": [
            {
                "target": "OpenAI",
                "type": "Associated organization",
                "description": "Proximal Policy Optimization is associated with OpenAI through its documented source context.",
                "evidence_level": "documentary"
            }
        ],
        "sources": [
            {
                "label": "Research or encyclopaedic reference",
                "url": "https://arxiv.org/abs/1707.06347",
                "source_type": "Research Paper",
                "verification_status": "verified"
            }
        ]
    }
}

Proof and discussion layer

Contribute to this record

Submit a proof, correction or comment. Public display is moderated. Every submission remains preserved in the export archive.

Submit proof or comment

Approved comments

No approved public comment yet.