Match tier
Listed
Presence
Current · Arkansas
Last published
2026
Sources
OpenAlex · ORCID
Refreshed
2026-08-17
J
Research Areas
Biography and Research Information
OverviewAI-generated summary
Jacob Collier-Tenison's research focuses on the application of machine learning techniques to computational problems. His work includes exploring information-driven reward shaping to enhance reinforcement learning in distributed edge computing environments. He has also investigated the practical implementation and verification of small language models on less powerful hardware.
Collier-Tenison collaborates with Ian D. Walker and Gabriel J. Ferrer, both from Hendrix College, with whom he has co-authored publications. His recent publications date to 2026, indicating current activity in his research pursuits.
Metrics
- Publications: 2
Selected Publications
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Information driven reward shaping for improved reinforcement learning in distributed edge-tasks (2026)
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Applying and Verifying a Small Language Model on Inexpensive Hardware (2025)
Collaboration Network
Top Collaborators
Ian D. Walker
Hendrix College
1 shared publication
In database
- Applying and Verifying a Small Language Model on Inexpensive Hardware
Gabriel J. Ferrer
Hendrix College
1 shared publication
In database
- Applying and Verifying a Small Language Model on Inexpensive Hardware
Prithviraj Dasgupta
United States Naval Research Laboratory (US)
1 shared publication
- Information driven reward shaping for improved reinforcement learning in distributed edge-tasks
Clement Kam
United States Naval Research Laboratory (US)
1 shared publication
- Information driven reward shaping for improved reinforcement learning in distributed edge-tasks
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