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Sankore

Named after the University of Sankore in Timbuktu — one of the world’s oldest centres of learning. Every figure here is computed from work-level records in our own graph, never copied from a source’s summary count.

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A SETUP-AWARE DEEP REINFORCEMENT LEARNING FRAMEWORK FOR SINGLE-MACHINE SCHEDULING WITH SEQUENCE-DEPENDENT SETUP TIMES USING PROXIMAL POLICY OPTIMIZATION (PPO)

2026Zenodo (CERN European Organization for Nuclear Research)JournalOpen access

10.5281/zenodo.22300208 Full text0 citations

Authors

3 authors across 2 institutions in 1 country.

Emmanuel Inonoje, Sunday ObokenuenuFirst author
- Delta State Polytechnic Ogwashi-Uku (NG)
Jonathan Tsetimi
- Delta State University (NG)
as printed: Tsetimi, Jonathan
Henrietta Ify OjarikreSenior author
- Delta State University (NG)
as printed: Ojarikre, Henrietta Ify

Fields

Assignment is probabilistic — a work belongs to several fields in proportions.

Scheduling and Optimization Algorithmslevel 3 · 0.95
Optimization and Packing Problemslevel 3 · 0.01
Resource-Constrained Project Schedulinglevel 3 · 0.01

Sources

Several sources describing one work is the point — it means the record rests on more than one authority.

openalexseen September 9, 2026
2026 · Zenodo (CERN European Organization for Nuclear Research) · 0 citations
https://openalex.org/W7208721516

A SETUP-AWARE DEEP REINFORCEMENT LEARNING FRAMEWORK FOR SINGLE-MACHINE SCHEDULING WITH SEQUENCE-DEPENDENT SETUP TIMES USING PROXIMAL POLICY OPTIMIZATION (PPO) · Sankore