19 citations · 50 across the 5 of their papers we have counts for
5 papers
QuACS: Variational Quantum Algorithm for Coalition Structure Generation in Induced Subgraph Games
Supreeth Mysore Venkatesh, Antonio Macaluso, Matthias Klusch
Coalition Structure Generation (CSG) is an NP-Hard problem in which agents are partitioned into mutually exclusive groups to maximize their social welfare. In this work, we propose…
MAQA: A Quantum Framework for Supervised Learning
Antonio Macaluso, Matthias Klusch, Stefano Lodi +1
Quantum Machine Learning has the potential to improve traditional machine learning methods and overcome some of the main limitations imposed by the classical computing paradigm. Ho…
Hybrid Deep Reinforcement Learning and Planning for Safe and Comfortable Automated Driving
Dikshant Gupta, Mathias Klusch
We present a novel hybrid learning method, HyLEAR, for solving the collision-free navigation problem for self-driving cars in POMDPs. HyLEAR leverages interposed learning to embed…
GCS-Q: Quantum Graph Coalition Structure Generation
Supreeth Mysore Venkatesh, Antonio Macaluso, Matthias Klusch
The problem of generating an optimal coalition structure for a given coalition game of rational agents is to find a partition that maximizes their social welfare and is known to be…
BILP-Q: Quantum Coalition Structure Generation
Supreeth Mysore Venkatesh, Antonio Macaluso, Matthias Klusch
Quantum AI is an emerging field that uses quantum computing to solve typical complex problems in AI. In this work, we propose BILP-Q, the first-ever general quantum approach for so…