Fernando Acero
Scholar

Fernando Acero

Google Scholar ID: jz-A-T8AAAAJ
Research Scientist, J.P. Morgan AI Research
Artificial IntelligenceReinforcement LearningRoboticsMachine LearningOptimization
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Citations & Impact
All-time
Citations
128
 
H-index
5
 
i10-index
3
 
Publications
17
 
Co-authors
16
list available
Contact
No contact links provided.
Publications
5 items
When Do We Need LLMs? A Diagnostic for Language-Driven Bandits
2026
Cited
0
Distill and Align Decomposition for Enhanced Claim Verification
2026
Cited
0
Discovery of skill switching criteria for learning agile quadruped locomotion
2025
Cited
0
Towards Generalist Robot Learning from Internet Video: A Survey
arXiv.org · 2024
Cited
25
RObotic MAnipulation Network (ROMAN) - Hybrid Hierarchical Learning for Solving Complex Sequential Tasks
arXiv.org · 2023
Cited
0
Resume (English only)
Co-authors
16 total
Zhibin (Alex) Li
Zhibin (Alex) Li
Associate Professor, University College London
Daniel Tan
Daniel Tan
UCL
Co-author 3
Co-author 3
Robert McCarthy
Robert McCarthy
University College London
Dimitrios Kanoulas
Dimitrios Kanoulas
Professor in Robotics and AI, UKRI FLF, University College London (UCL), Archimedes/Athena RC
Manuela M. Veloso
Manuela M. Veloso
Herbert A. Simon University Professor of Computer Science, Carnegie Mellon University
Parisa Zehtabi
Parisa Zehtabi
King's College london
Daniele Magazzeni
Daniele Magazzeni
J.P. Morgan. Chief Analytics Officer for the Commercial and Investment Bank