Direction, evidence grade, and study type are AI-generated labels (gpt-5-mini), not human-verified. Syntheses are LLM-written. "Tensions" are machine-detected candidates, not confirmed contradictions. A research-acceleration tool, not peer review.
How this is built →
1Distinct papers
3Unique collaborators
1/1OpenAlex citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5078490123
ORCID evidence
Observed aliases (2)
- Jorge Moya Velasco (openalex, provider refresh)
- Jorge Moya Velasco (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Human Ai Collab: 1 paper
- Productivity: 1 paper
Claim outcomes
- Research Productivity: 1 paper
- Decision Quality: 1 paper
Papers in the OpenAlex view
Latest stored OpenAlex author observations only. Citation counts below are from the same provider and are not combined with other services.
Scroll the table horizontally to see every column.
| Paper | Author evidence | Date | Provider citations |
|---|---|---|---|
| A standardized bridge from economics to reinforcement learning: the paper prescribes how preferences, frictions and information should map to reward, discounting and learning designs so RL-based economic models become interpretable, comparable and reproducible. Simulations show that changing frictions, risk attitudes and time preferences systematically alters learned policies and their divergence from static equilibria.openalex | Jorge Moya Velasco provider id |
2026-02-14 | 0 |
Citation observation summary
OpenAlex supplied counts for 1 of 1 papers in this view; 0 are missing. The observed paper counts sum to 0 cumulative citations. This is a coverage summary, not an author score or h-index.