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.
Authors
- Christopher D. Pang
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
- Field-Weighted Citation Impact
- 0.00