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Francesco Borrelli — most-cited papers & profile · Reinforcement Learning
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Francesco Borrelli
13
papers ·
385
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Accelerating Quadratic Optimization with Reinforcement Learning
2021 · 20 citations
Safety Augmented Value Estimation from Demonstrations (SAVED): Safe Deep Model-Based RL for Sparse Cost Robotic Tasks
2019 · 8 citations
Learning Two-agent Motion Planning Strategies from Generalized Nash Equilibrium for Model Predictive Control
2024
Top co-authors
Joseph E. Gonzalez
· 2
Ken Goldberg
· 2
Ashwin Balakrishna
· 1
Bartolomeo Stellato
· 1
Brijen Thananjeyan
· 1
Chang Seok Lim
· 1
Edward L. Zhu
· 1
Felix Li
· 1
Goran Banjac
· 1
Hansung Kim
· 1
Ion Stoica
· 1
Jeffrey Ichnowski
· 1
Topics
Model-Based RL
Value-Based
Exploration
Safe RL
math.OC
Policy Gradient
Multi-Agent
Game AI