Scholar
Federico Berto
Google Scholar ID: 3DetYBsAAAAJ
KAIST
Reinforcement Learning
Optimal Control
Neural Combinatorial Optimization
Dynamical Systems
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Citations & Impact
All-time
Citations
372
H-index
8
i10-index
7
Publications
20
Co-authors
42
list available
Contact
Email
berto.federico2@gmail.com
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Publications
13 items
LLM-Driven Algorithm Design for Quantum Circuit Synthesis based on Binary Decision Diagrams
2026
Cited
0
Rethinking Positional Encoding for Neural Vehicle Routing
2026
Cited
0
EvoNav: Evolutionary Reward Function Design for Robot Navigation with Large Language Models
2026
Cited
0
JudgeFlow: Agentic Workflow Optimization via Block Judge
2026
Cited
1
VRPAgent: LLM-Driven Discovery of Heuristic Operators for Vehicle Routing Problems
2025
Cited
0
TrajEvo: Trajectory Prediction Heuristics Design via LLM-driven Evolution
2025
Cited
0
USPR: Learning a Unified Solver for Profiled Routing
2025
Cited
0
TrajEvo: Designing Trajectory Prediction Heuristics via LLM-driven Evolution
2025
Cited
0
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Resume
Academic Achievements
Paper 'PARCO' accepted at NeurIPS 2025.
'RouteFinder' paper published in TMLR.
RL4CO benchmark accepted as oral presentation at KDD 2025.
Paper accepted at IEEE T-CPMT.
Paper selected as Best Paper Award Finalist at DesignCon 2025.
Paper accepted at AAMAS 2025.
Co-authors
14 total
Jinkyoo Park
Department of Industrial and Systems Engineering, KAIST
Chuanbo Hua
Postdoctoral Researcher @ KAIST
Junyoung Park
Qualcomm AI Research
Haoran Ye
AI PhD @ Peking University
Minsu Kim
Postdoctoral Researcher at Mila / KAIST
Zhiguang Cao
Singapore Management University
Stefano Massaroli
RIKEN
Michael Poli
Stanford University