7 citations · 7 across the 4 of their papers we have counts for
4 papers
Automatic Policy Search using Population-Based Hyper-heuristics for the Integrated Procurement and Perishable Inventory Problem
Leonardo Kanashiro Felizardo, Edoardo Fadda, Mariá Cristina Vasconcelos Nascimento
This paper addresses the problem of managing perishable inventory under multiple sources of uncertainty, including stochastic demand, unreliable supplier fulfillment, and probabili…
A Reinforcement Learning Method for Environments with Stochastic Variables: Post-Decision Proximal Policy Optimization with Dual Critic Networks
Leonardo Kanashiro Felizardo, Edoardo Fadda, Paolo Brandimarte +2
This paper presents Post-Decision Proximal Policy Optimization (PDPPO), a novel variation of the leading deep reinforcement learning method, Proximal Policy Optimization (PPO). The…
Rolling horizon policies for multi-stage stochastic assemble-to-order problems
Daniele Giovanni Gioia, Edoardo Fadda, Paolo Brandimarte
Assemble-to-order approaches deal with randomness in demand for end items by producing components under uncertainty, but assembling them only after demand is observed. Such plannin…
Consensus formation on heterogeneous networks
Edoardo Fadda, Junda He, Claudio Tessone +1
Reaching consensus -- a macroscopic state where the system constituents display the same microscopic state -- is a necessity in multiple complex socio-technical and techno-economic…