Federico Berto
Scholar

Federico Berto

Google Scholar ID: 3DetYBsAAAAJ
KAIST
Reinforcement LearningOptimal ControlNeural Combinatorial OptimizationDynamical Systems
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
372
 
H-index
8
 
i10-index
7
 
Publications
20
 
Co-authors
42
list available
Contact
Emailberto.federico2@gmail.comCVOpen ↗GitHubOpen ↗LinkedInOpen ↗
Publications
10 items
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
Neural Combinatorial Optimization for Real-World Routing
2025
Cited
0
CAMP: Collaborative Attention Model with Profiles for Vehicle Routing Problems
2025
Cited
0
Parallel AutoRegressive Models for Multi-Agent Combinatorial Optimization
2024
Cited
1
Resume (English only)
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
42 total
Jinkyoo Park
Jinkyoo Park
Department of Industrial and Systems Engineering, KAIST
Chuanbo Hua
Chuanbo Hua
Postdoctoral Researcher @ KAIST
Co-author 3
Co-author 3
Junyoung Park
Junyoung Park
Qualcomm AI Research
Haoran Ye
Haoran Ye
AI PhD @ Peking University
Minsu Kim
Minsu Kim
Postdoctoral Researcher at Mila / KAIST
Zhiguang Cao
Zhiguang Cao
Singapore Management University
Stefano Massaroli
Stefano Massaroli
RIKEN