research
∙
02/28/2023
Graph Reinforcement Learning for Operator Selection in the ALNS Metaheuristic
ALNS is a popular metaheuristic with renowned efficiency in solving comb...
share
research
∙
09/12/2022
Graph Neural Modeling of Network Flows
Network flow problems, which involve distributing traffic over a network...
research
∙
05/26/2022
Dynamic Network Reconfiguration for Entropy Maximization using Deep Reinforcement Learning
A key problem in network theory is how to reconfigure a graph in order t...
research
∙
05/25/2022
Trust-based Consensus in Multi-Agent Reinforcement Learning Systems
An often neglected issue in multi-agent reinforcement learning (MARL) is...
research
∙
09/16/2021
Reinforcement Learning on Encrypted Data
The growing number of applications of Reinforcement Learning (RL) in rea...
research
∙
06/12/2021
Planning Spatial Networks
We tackle the problem of goal-directed graph construction: given a start...
research
∙
06/12/2021
Solving Graph-based Public Good Games with Tree Search and Imitation Learning
Public goods games represent insightful settings for studying incentives...
research
∙
01/30/2020
