3 citations · 3 across the 6 of their papers we have counts for
3 papers · 1 filter
Convergence of ease-controlled Random Reshuffling gradient Algorithms under Lipschitz smoothness
Ruggiero Seccia, Corrado Coppola, Giampaolo Liuzzi +1
In this work, we consider minimizing the average of a very large number of smooth and possibly non-convex functions, and we focus on two widely used minibatch frameworks to tackle…
Solving the vehicle routing problem with deep reinforcement learning
Simone Foa, Corrado Coppola, Giorgio Grani +1
Recently, the applications of the methodologies of Reinforcement Learning (RL) to NP-Hard Combinatorial optimization problems have become a popular topic. This is essentially due t…
PUSH: a primal heuristic based on Feasibility PUmp and SHifting
Giorgio Grani, Corrado Coppola, Valerio Agasucci
This work describes PUSH, a primal heuristic combining Feasibility Pump and Shifting. The main idea is to replace the rounding phase of the Feasibility Pump with a suitable adaptat…