Barna Pásztor

20212022202320244 13 26 6

Andreas KrauseProfessor of Computer Science, ETH ZurichVerified email at inf.ethz.ch
Ilija BogunovicAssistant professor, UCLVerified email at ucl.ac.uk
Ulrik BrandesETH Zürich, Social Networks LabVerified email at ethz.ch
Katharina BörsigETH ZurichVerified email at ethz.ch
Petter KolmNYU Courant Institute of Mathematical SciencesVerified email at nyu.edu
Nino Antulov-FantulinHead of Research @ Aisot Technologies, Privatdozent at ETH ZurichVerified email at ethz.ch
Metod JazbecUniversity of AmsterdamVerified email at uva.nl

Barna Pásztor

ETH AI Center

Verified email at ethz.ch


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Efficient model-based multi-agent mean-field reinforcement learning B Pasztor, I Bogunovic, A Krause arXiv preprint arXiv:2107.04050, 2021	36	2021
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	10	2020
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	2	2021
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	1	2023

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