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Barna Pásztor
Barna Pásztor
ETH AI Center
Bestätigte E-Mail-Adresse bei ethz.ch - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Efficient model-based multi-agent mean-field reinforcement learning
B Pasztor, I Bogunovic, A Krause
arXiv preprint arXiv:2107.04050, 2021
502021
Stochastic gradient descent works really well for stress minimization
K Börsig, U Brandes, B Pasztor
Graph Drawing and Network Visualization: 28th International Symposium, GD …, 2020
142020
On the impact of publicly available news and information transfer to financial markets
M Jazbec, B Pàsztor, F Faltings, N Antulov-Fantulin, PN Kolm
Royal Society Open Science 8 (7), 202321, 2021
62021
Safe model-based multi-agent mean-field reinforcement learning
M Jusup, B Pásztor, T Janik, K Zhang, F Corman, A Krause, I Bogunovic
arXiv preprint arXiv:2306.17052, 2023
42023
Contextual Bilevel Reinforcement Learning for Incentive Alignment
V Thoma, B Pásztor, A Krause, G Ramponi, Y Hu
Advances in Neural Information Processing Systems 37, 127369-127435, 2024
3*2024
Bandits with preference feedback: A stackelberg game perspective
B Pásztor, P Kassraie, A Krause
arXiv preprint arXiv:2406.16745, 2024
32024
Learning Collusion in Episodic, Inventory-Constrained Markets
P Friedrich, B PĂĄsztor, G Ramponi
arXiv preprint arXiv:2410.18871, 2024
12024
Melting Pot Contest: Charting the Future of Generalized Cooperative Intelligence
R Trivedi, A Khan, J Clifton, L Hammond, E Duenez-Guzman, ...
Advances in Neural Information Processing Systems 37, 16213-16239, 2024
2024
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