P3LA: P-Gated Predictive-Policy-Language Architecture

P3LA discloses a typed architecture connecting joint-embedding predictive architectures, belief-conditioned partially observable reinforcement learning, large language models, and accountable human action through PPP-governed P-Gates. It includes component role separation, a reference packet contract, gate outcomes, non-promotion invariants, pseudocode, a non-monotonic worked example, evaluation targets, and a related-work boundary.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-07-25
DOI
https://doi.org/10.5281/zenodo.21558615
Primary Topic
Reinforcement Learning in Robotics
Type
article
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article

P3LA: P-Gated Predictive-Policy-Language Architecture

Christopher D. Pang
Zenodo (CERN European Organization for Nuclear Research)
Reinforcement Learning in Robotics
article

P3LA: P-Gated Predictive-Policy-Language Architecture

Christopher D. Pang
article en

Abstract

P3LA discloses a typed architecture connecting joint-embedding predictive architectures, belief-conditioned partially observable reinforcement learning, large language models, and accountable human action through PPP-governed P-Gates. It includes component role separation, a reference packet contract, gate outcomes, non-promotion invariants, pseudocode, a non-monotonic worked example, evaluation targets, and a related-work boundary.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 6%
Reinforcement Learning in Robotics
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