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Lucia Cipolina Kun
Lucia Cipolina Kun
PHD Candidate, University of Bristol
Verified email at adinet.com.uy - Homepage
Title
Cited by
Cited by
Year
Coalition formation in ridesharing with walking options
L Cipolina-Kun, S Stein, V Yazdanpanah, E Gerding
ICLR 2022 Workshop on Gamification and Multiagent Solutions, 2022
42022
A Proportional Pricing Mechanism for Ridesharing Services with Meeting Points
L Cipolina-Kun, V Yazdanpanah, S Stein, EH Gerding
International Conference on Principles and Practice of Multi-Agent Systems …, 2023
22023
Comparison of CoModGans, LaMa and GLIDE for Art Inpainting Completing MC Escher's Print Gallery
L Cipolina-Kun, S Caenazzo, G Mazzei
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
22022
Enhancing Smart, Sustainable Mobility with Game Theory and Multi-Agent Reinforcement Learning With Applications to Ridesharing
L Cipolina-Kun
Proceedings of the AAAI Conference on Artificial Intelligence 37 (13), 16113 …, 2023
12023
Cybersecurity in Motion: A Survey of Challenges and Requirements for Future Test Facilities of CAVs
I Mavromatis, T Spyridopoulos, P Carnelli, WH Chin, A Khalil, ...
arXiv preprint arXiv:2312.14687, 2023
2023
Adaptive Coalition Structure Generation
L Cipolina-Kun, I Carlucho, K Bullard
Second Agent Learning in Open-Endedness Workshop, 2023
2023
MULTI-AGENT REINFORCEMENT LEARNING FOR COALITIONAL BARGAINING GAMES
L Cipolina-Kun, S Mak, I Carlucho, V Yazdanpanah, S Stein, E Gerding, ...
2023
THEORETICAL PRINCIPLES OF MULTI-AGENT REINFORCEMENT LEARNING FOR COALITIONAL BARGAIN- ING GAMES
L Cipolina-Kun, I Carlucho, S Mak, V Yazdanpanah, S Stein, E Gerding, ...
ICLR 2023- Workshop, 2023
2023
Discriminative Candidate Selection for Image Inpainting Applications to the Fine Arts
L Cipolina-Kun, SM Papadakis, S Caenazzo
39th International Conference on Machine Learning, Baltimore, Maryland, USA …, 2022
2022
Mathematical Foundations of Regression Methods for Approximating the Forward Initial Margin
L Cipolina-Kun, S Caenazzo, K Ponomareva
The Journal of Derivatives 30 (2), 127-140, 2022
2022
Multi-Agent Reinforcement Learning Algorithm Performance in Unfamiliar Domains
TDSG Team
https://doi.org/10.5281/zenodo.5121558, 2021
2021
Mathematical Foundations of Regression Methods for the approximation of the Forward Initial Margin
LC Kun, S Caenazzo, K Ponomareva
arXiv preprint arXiv:2002.04563, 2020
2020
An Enhanced Initial Margin Methodology to Manage Warehoused Credit Risk
L Cipolina-Kun, I Ruiz, MZM Laris
arXiv preprint arXiv:1812.09407, 2018
2018
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Articles 1–13