Pier Giuseppe Sessa, Maryam Kamgarpour, Andreas Krause 0001. Efficient Model-based Multi-agent Reinforcement Learning via Optimistic Equilibrium Computation. In Kamalika Chaudhuri, Stefanie Jegelka, Le Song, Csaba Szepesvári, Gang Niu 0001, Sivan Sabato, editors, International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA. Volume 162 of Proceedings of Machine Learning Research, pages 19580-19597, PMLR, 2022. [doi]
@inproceedings{SessaK022,
title = {Efficient Model-based Multi-agent Reinforcement Learning via Optimistic Equilibrium Computation},
author = {Pier Giuseppe Sessa and Maryam Kamgarpour and Andreas Krause 0001},
year = {2022},
url = {https://proceedings.mlr.press/v162/sessa22a.html},
researchr = {https://researchr.org/publication/SessaK022},
cites = {0},
citedby = {0},
pages = {19580-19597},
booktitle = {International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA},
editor = {Kamalika Chaudhuri and Stefanie Jegelka and Le Song and Csaba Szepesvári and Gang Niu 0001 and Sivan Sabato},
volume = {162},
series = {Proceedings of Machine Learning Research},
publisher = {PMLR},
}