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Edoardo Fadda

Personale esterno ed autonomi

Politecnico di Torino

Italy

Research Interests

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Professors in Italy Professors in Reinforcement Learning Reinforcement Learning professors in Italy

Articles (20)

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2026

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Collaborators (9)

Roberto TADEI

Full Professor of Operations Research

Politecnico di Torino

ITALY

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Ivana Ljubic

Professor

WU Vienna University of Economics and Business

AUSTRIA

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Guido Perboli

Docenti di ruolo di Ia fascia

Polytechnic University of Turin

ITALY

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Guangtao Ran

Harbin Institute of Technology

CHINA

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Emilio Del Moral Hernandez

Prof. Dr. Emilio Del Moral Hernandez

University of Sao Paulo

BRAZIL

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Daniele Manerba

Associate Professor

University of Brescia

ITALY

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Youmin Gong

Assistant professor

Harbin Institute of Technology

CHINA

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Yanning Guo

Professor

Harbin Institute of Technology

CHINA

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Daniele Giovanni Gioia

Research Scientist

Deutsches Zentrum für Luft- und Raumfahrt

GERMANY

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Edoardo Fadda

Research Interests

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Articles (20)

Obstacle avoidance guidance for Mars powered descent using convex optimization and elevation angle

Robust powered descent guidance considering mass and fuel consumption uncertainties: A convex optimization approach

Districting in last‐mile delivery with stochastic customers

On-orbit refueling robust mission scheduling with uncertain duration for geosynchronous orbit spacecraft

Healthcare Predictive Timetabling: A predictive decomposition for integrated healthcare timetabling

An exact scenario-independent deterministic equivalent form of stochastic programs embedding Multivariate Extreme Value discrete choice problems

A Tailored Branch-and-Benders-Cut Approach for Backup Covering Problems

Code and Data for A tailored Branch-and-Benders-Cut approach for Backup Covering Problems

A Data-Driven Approach to Optimal Sensor Placement for Waste Collection

A Reinforcement Learning Method for Environments with Stochastic Variables: Post-Decision Proximal Policy Optimization with Dual Critic Networks

How to locate services optimizing redundancy: A comparative analysis of K-Covering Facility Location models

Adaptive pseudospectral successive convex optimization for six-degree-of-freedom powered descent guidance

Modeling and supporting adaptive Complex Data-Intensive Web Systems via XML and the O-O paradigm: The OO-XAHM model

Rolling horizon policies for multi-stage stochastic assemble-to-order problems

A reduced variable neighborhood search for the just in time job shop scheduling problem with sequence dependent setup times

Reinforcement learning approaches for the stochastic discrete lot-sizing problem on parallel machines

Math‐based reinforcement learning for the adaptive budgeted influence maximization problem

Combining deep reinforcement learning and multi-stage stochastic programming to address the supply chain inventory management problem

A bayesian-neural-networks framework for scaling posterior distributions over different-curation datasets

A kernel-based approach to errors-in-variables identification of stable multivariable linear systems

Collaborators (9)

Roberto TADEI

Ivana Ljubic

Guido Perboli

Guangtao Ran

Emilio Del Moral Hernandez

Daniele Manerba

Youmin Gong

Yanning Guo

Daniele Giovanni Gioia

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